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  • MPI Ethno. Forsch.  (100)
  • [Place of publication not identified] : O'Reilly  (52)
  • [Place of publication not identified] : Pragmatic AI Solutions  (48)
  • Cloud computing  (78)
  • Web site development
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  • MPI Ethno. Forsch.  (100)
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  • 1
    Online Resource
    Online Resource
    Deploy Rust on Azure functions (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Microsoft Azure (Computing platform) ; Cloud computing ; Cloud computing ; Microsoft Azure (Computing platform) ; Rust (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Deploy Rust on Azure Functions Learn how to deploy Rust functions to Azure Functions with this comprehensive video course. You will start by creating a simple HTTP-triggered function, and then use GitHub Actions to automate your deployment. Deploying Rust in Azure can be frustrating because there is no first-class support yet for it. You will learn what are some of the caveats and what are some strategies you can use to properly deploy a very basic Rust HTTP API. Course Overview We will start by covering the basics of Azure Functions and Rust, and then dive into more advanced topics such as configuring your function's environment, application settings, and using external crates. By the end of this course, you will have a working knowledge of how to deploy and manage your Rust functions on Azure Functions using automation to quickly re-deploy or update your function. Course Content Introduction to Azure Functions - Learn the basics of Azure Functions and how they work with Rust. Creating Your First Azure Function in Rust - Create a simple HTTP-triggered function in Rust and deploy it to Azure Functions. Configuring Your Function Environment - Learn how to use environment variables to configure your function's behavior. Use GitHub Actions for automation About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. With Alfredo's guidance, you will gain the knowledge and skills needed to deploy and manage your Rust functions on Azure Functions. Resources Deploying containers to Azure Practical MLOps book Automated Azure Resource Cleanup Azure Fundamentals Certification.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2023)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Rust AWS Lambda (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 31 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Rust (Computer program language) ; Cloud computing ; Web applications Development ; Application software Development ; Computer architecture Design ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Rust AWS Lambda Build and deploy serverless applications with Rust and AWS Lambda This course will help you build and deploy serverless applications with Rust and AWS Lambda. You will learn how to create, deploy, and manage AWS Lambda functions using Rust, leveraging the power and performance of the language for serverless architecture, and apply it by building a real-world Lambda function as a part of a distributed application. What you will learn Understand the concept of serverless architecture and AWS Lambda. Create and deploy AWS Lambda functions written in Rust. Integrate Lambda functions with other AWS services. Monitor, test, and optimize Rust-based Lambda functions. Implement real-world applications using Rust and AWS Lambda. Lesson 1: Getting Started with Rust AWS Lambda and Serverless Introduction to Serverless and AWS Lambda Walk through Rust Firecracker Project Setting up VSCode AWS Toolkit and CodeWhisperer for Rust Introduction to Cargo Lambda Rust Cost Advantage AWS Lambda Using the AWS Lambda Console Using the Step Functions Console Invoking Step Functions from AWS CLI Lesson 2: Advanced Techniques with Rust and AWS Lambda Building a Rust AWS Lambda Add Function Building a Rust AWS Lambda Divide by Two Function Invoking AWS Step Function from CLI Building Chainable AWS Step Functions with Rust Serverless MLOPs with EFS mounted in AWS Lambda Using Rust AWS Lambda Function URLs Saving money with arm64 Rust AWS Lambdas Lesson 3: Building a Polars Rust AWS Lambda Solution Polars Rust AWS Lambda Build and Deploy Polars Rust AWS Lambda Using AWS Console with deployed Polars Rust AWS Lambda Analyzing Rust AWS Lambda code with CodeWhisperer and AWS Toolkit AWS Lambda Function URLs Build and Deploy Polars Rust AWS Lambda Function URLs.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed September 06, 2023)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Live coding AWS CodeWhisper (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (19 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Codewhisperer
    DDC: 005.3
    Keywords: Amazon Web Services (Firm) ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learning Generative AI with AWS CodeWhisperer During Live Coding This video series covers live coding in various languages iteratively, thus learning the language. Lessons Covered Include 1.0 Getting started with Bash and Rust using AWS CodeWhisperer, VSCode, and AWS Toolkit for VSCode Learning Objectives Learn the fundamentals of Generative AI Learn to build AI-powered solutions with Bash, Rust, and AWS services Master the key syntax and features of Bash and Rust languages Additional Popular Resources Assimilate OpenAI 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: "Live coding.". - Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Achieving scalability with Vector, Graph, and key/value databases (2023)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Amazon Web Services (Firm) ; Database management ; Database design ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos ; Infonuagique ; Logiciels d'application ; Développement ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Achieving Scalability with Vector, Graph, and Key/Value Databases Description This week we explore vector and graph databases, powerful tools for managing and extracting insights from large, complex datasets. As data volumes continue to grow, scalability is crucial. We'll learn how vector and graph databases can efficiently store data while maintaining relationships, enabling more advanced analytics. Through real-world examples, you'll see how these databases unlock scalability for machine learning, fraud detection, social networks, and more. Learning Objectives Learn Vector, Graph, SQLand Key/Value Databases Learning to build solutions with Rust, Vector, Graph, and Key/Value Databases Learning advanced data engineering Additional Popular Resources 52 Weeks of AWS-The Complete Series Microsoft Azure Fundamentals (AZ-900) Certification Rust Bootcamp Python Bootcamp Google Professional Machine Learning Engineer Course 2023 (Rough Draft) Rust Data Engineering Building with the GitHub EcoSystem: Copilot, CodeSpaces, and GitHub Actions Microsoft Azure Fundamentals (AZ-900) Certification Google Professional Cloud Architect Certification Course 2023 (Rough Draft) AWS Solutions Architect Professional (SAP-C02) 2023.
    Note: "Rough draft.". - "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed October 17, 2023)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    MLOps platforms from zero : databricks, MLFlow/MLRun/SKLearn (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.31
    Keywords: Machine learning ; Cloud computing ; Apprentissage automatique ; Infonuagique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to master MLOPs patterns with Databricks MLFlow as well as sklearn 00:00 Intro.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 30, 2022)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Using PowerShell to script EC2 with AWS CloudShell (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Windows PowerShell (Computer program language) ; Streaming video ; Internet videos ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to script EC2 by using PowerShell inside of AWS CloudShell. I use AWSPowerShell.NetCore to query how many availability zones are available in my AWS region. 00:00 Intro 00:42 AWS Console 01:16 Invoking PowerShell inside of AWS CloudShell 01:33 Checking out AWS PowerShell Gallery 02:00 Importing via Import-Module AWSPowerShell.NetCore 03:00 Query All AWS Availability Zones in Region 03:30 Filter and Count by using a PowerShell Object with .count.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    52 weeks of AWS : Episode 24: MLcert intro, week 1 (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (16 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Amazon Web Services (Firm) Certification ; Machine learning Study and teaching ; Cloud computing ; Web services ; Amazon Web Services (Firm) ; Cloud computing ; Machine learning ; Study and teaching ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to pass the AWS ML Certification 00:00 Intro 03:00 AWS ML Certification Course Outline 05:21 What is the Data Scientist role? 05:58 Machine Learning engineer 06:33 Applied science researcher 07:08 Machine learning developer role 08:05 Resources and documentation 10:48 AWS SageMaker Studio Lab 13:18 AWS Machine Learning Lens.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 20, 2022)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Python testing for beginners (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Web site development ; Python (Computer program language) ; Web site development ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Python Testing for Beginners Over 1 hour of course material with practice code Quickly learn learn how to test in Python Learn the basics of Python testing in this course. From a brief overview of the standard library to using a more modern approach with Pytest, one of the most popular testing libraries in Python. By the end of this week, you should be comfortable working with existing tests, creating new tests, and debugging test failures. All lessons and videos have accompanying GitHub Repositories with example code. Reference GitHub Repository Learning Objectives In this course you will learn to: Understand the basics of testing and its importance Write and run tests with functions and classes Use Pytest for running and creating tests Apply different techniques for debugging including PDB and stopping on failure Use fixtures to simplify tests that make identical assertions Resources Python for beginners course Python Functions and Classes course Python Dictionaries course Pytest Master Class Python Bootcamp for Data Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 23, 2022)
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    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    GitHub codespaces course (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 38 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: GitHub Codespaces Course A full introduction to Codespaces with practical examples This course will show you everything you need to know to be productive using GitHub Codespaces , a service that allows you to run a configurable development environment with one-click launch with a remote compute in the cloud. Being able to run Visual Studio Code in the cloud for any project with a pre-configured environment is going to allow you to concentrate on the learning if you are student, the teaching if you are a professor, or being plain productive if you are already a technologist. Learning Objectives This course goes through some of the basics of using default Codespaces environments, but it also goes into configuring environments to take advantage of its best features, including: Learning about Codespaces uses and how it fits for learning, teaching, or working in projects Running default Codespaces and configuring it in your GitHub account Configuring Codespaces for different development environments Applying practical examples in Codespaces environments using Docker, Python, and many other tools About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience creating courses with Codespaces is seen throughout this course, where you will get a first-hand experience with practical examples as well as applicable configuration for any development environment. Resources Python Bootcamp Pytest Master Class Practical MLOps book What is GitHub Codespaces Azure Codespaces Template.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Assimilate Go (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Go (Computer program language) ; Computer software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Go Learning Golang During Live Coding This video series covers live coding the Go Language iteratively thus learning the language. Lessons Covered Include: 1.0 Setup GitHub Codespaces and run hello world Go Learning Objectives Learn Go Learning to build solutions with Go Learning the key syntax and features of the Go Language Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 21, 2022)
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  • 11
    Online Resource
    Online Resource
    Learn to containerize algorithms deploy to AWS with App Runner (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Computer software Development ; Infonuagique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to build greedy algorithms, then convert them to microservices and finally containerized them and deploy to AWS with App Runner. 00:00 Intro 00:38 Github Code Repo of Traveling Salesman Problem 02:00 Overview of Cities in Problem 04:50 Launching Github Codespaces to work on problem 06:30 Cleaning up the code and fixing Makefile and Lint 09:30 Running simulations and minimizing the cost 14:00 Pinning version numbers in requirements.txt 16:00 Setup Github Actions 19:00 Fixing Python Black error 21:32 Create Github Actions Status Badge 25:00 Creating FastAPI Microservice 28:00 Building Greedy Coin Change Microservice 36:00 Deploying Python FastAPI Microservice to AWS with App Runner 46:00 Theory of logic to containerization 51:00 Building Containerized C# Service in AWS Cloud9 and App Runner 01:03:44 Testing via Curl in AWS CloudShell 01:06:00 Building Containerized FastAPI Service in AWS Cloud9 and App Runner 01:11:03 Pushing to Amazon ECR 01:14:00 Testing via FastAPI App Runner API with Swagger UI.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    MLOps deployment with Azure container apps (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (19 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Cloud computing ; Microsoft Azure (Computing platform) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: MLOps deployment to Azure Container Apps Take advantage of insta-scaling for live inferencing Learn how to deploy an ML container with FastAPI and deploy it to Azure Container Apps with GitHub Actions. This repository gives you a good starting point with a Dockerfile, GitHub Actions workflow, and Python code that already works for generating text using GPT-2 with HuggingFace Transformers. First, you'll go through an architectural overview of the end-result, then you will go through every configuration item needed to set the automation right between Azure and GitHub Actions and the GitHub Container Registry. Finally, you'll see how to deploy and find a few crucial requirements needed for everything to work, like ingress ports and setting the right amount of RAM and CPU. Learn Objectives In this video lesson, I'll go over the details with an example repository you can use for reference including the following learning objectives: Use GitHub Container Registry to push a built container Use the Azure CLI in a GItHub Action to authenticate to Azure How to generate an Azure Service Principal and a Personal Access Token to authenticate Configure Azure Container Apps to correctly serve a model with enough resources Look at deployment logs to ensure things are working right Resources Example repository Practical MLOps book MLOps Maturity Model Packaging ML models MLOps packaging: HuggingFace and Docker MLOps packaging: HuggingFace and Azure Container Registry.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
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  • 13
    Online Resource
    Online Resource
    MLOps packaging : HuggingFace and Azure container registry (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Cloud computing ; Microsoft Azure (Computing platform) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: MLOps packaging: HuggingFace and Azure Container Registry Use automation to package models Learn how to package a HuggingFace GPT2 model for text generation using automation with MLOps and pushing the result to Azure Container Registry. With just a little bit of Python and FastAPI you can have a powerful text generation API that is self-documented! Learn Objectives In this video lesson, I'll go over the details with an example repository you can use for reference including the following learning objectives: Create a FastAPI application with HuggingFace Interact with the model with HTTP from a container using FastAPI Containerize the application using GitHub Actions Create repository secrets to login and push to Azure Container Registry Resources Example repository Practical MLOps book MLOps Maturity Model Packaging ML models.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 6, 2022)
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    MPI Ethno. Forsch.
  • 14
    Online Resource
    Online Resource
    Helping humans at scale : continuous delivery of Hugo on AWS (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to use Hugo a popular Go-based content management system to deploy global-scale websites on AWS. 00:00 Intro 00:53 The need to spread information that helps humans at scale 02:26 Hugo Continuous Delivery with AWS CodeBuild workflow diagram 06:04 AWS CodeBuild 06:38 AWS Cloud9 07:56 Download Hugo and run it locally 09:40 Follow Hugo's Quickstart guide 11:36 Edit inbound rules for Cloud9 to preview running Hugo website 13:10 Looking at the buildspec.yml file for continuous delivery of Hugo website with AWS S3 and Cloudfront and Route 53 14:52 Walkthrough of AWS S3 static hosting 15:45 Walkthrough of AWS CodeBuild continuous delivery for Hugo console settings.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 12, 2022)
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    MPI Ethno. Forsch.
  • 15
    Online Resource
    Online Resource
    Assimilate Hugging Face (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 52 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Machine learning ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Hugging Face Learn Hugging Face weekly by example This video course will show you how to build real-world applications with Hugging Face. Topics Covered Include: 1.0 Assimilate Hugging Face EP1 build cli tool summarize codespaces 2.0 Assimilate Hugging Face EP2 Building CLI Summarizer gradio webapp Learning Objectives Build a CLI tool that invokes models with Hugging Face Use Github Codespaces to code alongside Github Copilot. Additional Popular Resources 52 Weeks of AWS-The Complete Series Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 16
    Online Resource
    Online Resource
    52 Weeks of AWS : the complete series (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (14 hr., 23 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of AWS-The Complete Series Master AWS with weekly episodes on all significant AWS certifications This video series covers all major AWS Certification exams, from the AWS Certified Developer Associate to the AWS Certified Solutions Architect. Lessons Include: 1.0-52-weeks-aws-introduction 2.0-52 Weeks AWS Episode 2-Getting Started with AWS 3.0-52 Weeks of AWS_ Episode 3_ AWS Cloud Practitioner Part 1 4.0-52 Weeks of AWS-Episode 4-Global-Infrastructure-AWS Cloud Practitioner Part 2 5.0-52 Weeks of AWS Episode 5_ Cloud Practitioner Part3 + Network and Content Delivery, Compute_Storag 6.0-52 Weeks of AWS Live Stream_ Episode 6-Final AWS CP Certification Walkthrough 7.0-52 Weeks of AWS-Episode 7_ Developing on AWS 8.0-Episode 8 52 weeks of AWS 9.0-52 weeks AWS episode 9 solutions architect-Beginning 10.0-52 Weeks AWS_ Episode 10-Compute 11.0-52 Weeks AWS_ Episode 11- Solutions Architect-Database 12.0-52 Weeks AWS_ Episode 12-Solutions Architect-Networking 13.0-52 Weeks AWS_ Episode 13-Solutions Architect-Connecting Networks 14.0-52 Weeks of AWS Episode 9_AWS Cookbook 16.0-Weeks AWS_ Episode 16-)Solutions Architect-Securing-Users 17.0-Weeks AWS_ Episode 17-Solutions Architect Continued-Elasticity 18.0-52 Weeks AWS_ Episode 18-Solutions Architect Continued-Automate Infra 19.0-52 Weeks AWS_ Episode 19-Solutions Architect Continued-Caching Content 20.0-52 Weeks AWS_ Episode 20-SA- Continued-Building Decoupled Architectures 21.0-52 Weeks AWS_ Episode 21-SA- Building Microservices 22.0-52 Weeks AWS_ Episode 22-SA-Planning for Disaster 23.0-52 Weeks AWS_ Episode 23-SA-Bridging to Certification 24.0-52 Weeks AWS_ Episode 24-AWS ML Certification-Welcome to ML foundations 25.0-52 Weeks AWS_ Episode 25-AWS ML Certification_ Wk2-Introduction to ML 26.0-52 Weeks AWS_ Episode 25-AWS ML Certification_ Wk3-Amazon SageMaker-Part2 27.0-52 Weeks AWS_ Episode 25-AWS ML Certification_ Wk3-Amazon SageMaker 28.0-52 Weeks AWS_ Episode 27-AWS ML Certification_ Continued 29.0-52 Weeks AWS_ Episode 28-AWS ML Certification Continued 30.0-52-weeks-aws-Episode-29-AWS-ML-Certification-Conclusions 29-AWS Certified Machine Learning Engineering-Conclusion Topics Covered Include: AWS MLOps AWS Certified Cloud Practitioner AWS Certified Solutions Architect AWS Certified Machine Learning AWS Certified Developer Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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  • 17
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    Online Resource
    Introduction to Azure functions (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Microsoft Azure (Computing platform) ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Introduction to Azure Functions Create a function with Python and Flask Learn how to create an Azure Function in the fastest way using instant deployment with Visual Studio Code, and then find out how to take it to the next level by using the Flask framework to take advantage of common Python patterns you might already be used to. Finally, we'll go through automation steps using GitHub Actions so that you can re-deploy your Azure Function after merging changes. This will give you confidence for deployment, make it less error-prone, and give you a foundational workflow to implement serverless technology using the Azure cloud. Learning Objectives Create an Azure Function using the Azure Portal Quickly build a function using Visual Studio Code Deploy in one click with the Azure Functions extension Modify your code and routes to use Flask Use GitHub Actions for automating the deployment process About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience creating courses with Codespaces is seen throughout this course, where you will get a first-hand experience with practical examples as well as applicable configuration for any development environment. Resources GitHub Codespaces course Microsoft Azure Fundamentals (AZ-900) Certification Pytest Master Class Practical MLOps book.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed September 27, 2022)
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  • 18
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    Online Resource
    AWS storage solutions 2022 : EBS/S3/EFS/Glacier (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/3
    Keywords: Amazon Web Services (Firm) ; Virtual storage (Computer science) ; Cloud computing ; Ordinateurs ; Mémoires virtuelles ; Infonuagique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to use AWS Storage Solutions Correctly. Hi, my name is Noah gift, and today I'm going to talk about AWS storage systems. We're going to talk about the elastic box system where EBS, also S3, the object storage system, which has unlimited data storage, and also EFS, the elastic file system. And finally, offsite backup, and also archiving systems with glacier, we're also going to do some demos of those products. Let's go ahead and get started. This video shoes both theory and hands on demos. * EBS (Elastic Block Storage) * EFS (Elastic File System) * S3 (Object Storage) * Glacier (Archiving) 00:00 Intro 00:49 Storage Module Overview 03:00 What is EBS? 11:00 EBS Demos 30:00 What is S3? 38:00 S3 Demos 48:00 Boto3 S3 Demos 49:00 What is EFS? 51:47 What is AWS Glacier?.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 19
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    Online Resource
    Getting started with AWS Lambda and step functions (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to build AWS Step Functions with Python and AWS Lambda. Use AWS Cloud9 to test your code locally and the Step Functions console to deploy your code to AWS. 00:00 Intro 00:22 Create AWS Lambda 02:49 Build Fruit Generator 05:01 Create New Test Event 07:18 Invoke AWS Lambda in Cloud9 09:32 Create AWS Step Functions 10:51 Create Second AWS Lambda 11:57 Create test payloads for second AWS Lambda 13:00 Build out the second AWS Lambda logic 15:11 Test bad logic condition 15:30 Build out chain reaction of AWS Step Functions.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 20
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    Functions from zero (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 19 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/17
    Keywords: Python (Computer program language) ; Application software Development ; Cloud computing ; Python (Langage de programmation) ; Logiciels d'application ; Développement ; Infonuagique ; Application software ; Development ; Cloud computing ; Python (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to build a project from zero, test it with Github Actions. Next, build both Click and Fire Command-Line Tools. Finally containerize a Fast API Wikipedia Scraper and deploy to AWS App Runner. 00:00 Intro 03:00 Statements in Python using Colab 10:00 List and Dictionaries Python 21:00 Using Github Codespaces to build project 38:00 Setup Github Actions 44:00 Python Functions 1:03:00 Build Wikipedia bot 1:12:00 Build Click Command-Line Tool Interface Wikipedia Bot 1:38:15 Build Python Fire Command-Line Tool 1:42:21 Build FastAPI Wikipedia Bot 1:56:00 Containerize FastAPI Wikipedia Bot with Docker 2:07:08 Deploy AWS App Runner FastAPI Wikipedia Bot with Docker.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2022)
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  • 21
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    Getting started with cloud pipelines with AWS Lambda and AWS step functions (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to build cloud pipelines with AWS Step Functions 00:00 Intro 01:00 Create AWS Lambda function in Python 04:00 Create return statement that returns JSON depending on type of event 05:49 Test the AWS Lambda function 08:00 Build a second AWS Lambda function that can parse first function 13:00 Create AWS Step Function that consumes both AWS Lambda functions for Pipeline.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 22
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    Provisioning EC2 instances with AWS Console and AWS Cloud Shell (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/8
    Keywords: Amazon.com (Firm) ; Web services ; Cloud computing ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to provision EC2 instances from both the AWS Console and AWS CloudShell. Also learn the key components of EC2 instance provisioning. 00:00 Intro 00:45 EC2 Instance Provisioning Key Component Diagram Walkthrough 03:18 Launching an EC2 Instance from AWS Console 04:06 Creating SSH key pair 04:46 Configuring Security Group rules 05:21 Walkthrough of Advanced Setting including User Data 06:33 Observing EC2 Instance State in Console 07:07 Using AWS CloudShell to launch and controll EC2 Instances 07:44 Finding AMI IDs to launch EC2 Instances from AMI Catalog 08:00 Launching EC2 Instances from AMI Catalog with AWS CloudShell 08:52 Connecting to EC2 Instances from AWS Console and logging into Linux shell 09:40 Walkthrough of EC2 Instance Connection options for Windows with RDP 10:56 Terminating Instances with AWS CloudShell and Bash AWS CLI 11:50 Recap of EC2 Instance Provisioning.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
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  • 23
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    Online Resource
    Continuous delivery of global scale Hugo Static Site on AWS (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (45 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to use AWS to continuously deploy a Hugo site that has global scale. 00:00 Intro 02:00 Create Github Repo 05:52 Launch AWS Cloud9 05:58 Download Hugo binary 11:00 Create Hugo Quickstart 17:00 Adding submodules for theme 23:00 Building Hugo locally and running it in Cloud9 26:00 Setup AWS S3 Static Hosting 30:30 Setup AWS CloudBuild for Continuous Delivery of Hugo 40:00 Verify Hugo deploy works.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 24
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    Online Resource
    52 weeks of live coding MLOps : the series (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Machine learning ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 52 Weeks of Live Coding MLOps-The Series Live Coding on New and Exotic MLOps Tools Weekly This is a weekly series of live coding sessions on new and exotic MLOps tools. Live Coding Sessions Include: 1.0-52-Weeks-Live-Coding-MLOps-Episode-1-mlops-with-tensorflow 2.0-52-Weeks-Live-Coding-MLOps-Episode-2-Serving TensorFlow Models 3.0-52-Weeks-Live-Coding-MLOps-Episode-3-Serving Tensforflow with TensorFlow Serving 4.0-52-Weeks-Live-Coding-MLOps-Episode-4-Live Coding Hugging Face 5.0-52-Weeks-Live-Coding-MLOps-Episode-5-More Hugging Face 6.0-52-Weeks-Live-Coding-MLOps-Episode-6-Even More Hugging Face 7.0-52-Weeks-Live-Coding-MLOps-Episode-7-Open AI with Github Codespaces 8.0-52-Weeks-Live-Coding-MLOps-Episode-8-Live Coding Ludwig 9.0-52-Weeks-Live-Coding-MLOps-Episode-9-Diving into Ludwig 10.0-52-Weeks-Live-Coding-MLOps-Episode-10-mlrun 11-52-Weeks-Live-Coding-MLOps-Sagemaker-Studio-Lab Topics Covered Include: Enterprise MLOps MLOps MLOps on AWS MLOps on GCP MLOps on Azure MLOps and DevOps MLOps with Ludwig MLOPs with mlrun MLOPs with Sagemaker Studio Lab Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
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  • 25
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    Online Resource
    Cutting edge MLOps from zero with Hugging Face and OpenAI (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 53 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Cutting Edge MLOps from Zero with Hugging Face and OpenAI Learn by doing This video course takes you from zero all the way to building solutions using MLOps. First the theory of MLOps is explained, then you will learn how to build a MLOps style solution from scratch using Hugging Face and OpenAI. You will also learn to use AI tools like Github Copilot, Hugging Face Spaces, and OpenAI Codex. Learning Objectives Learn to use Github Codespaces and customize your environment with devcontainer.json Learn the foundations of MLOps Explore new topics in the upcoming book Enterprise MLOps by O'Reilly Learn to use Github Actions to test AI projects Learn to use Github Copilot to write code for both Hugging Face and OpenAI Learn to build AI solutions using GPT-3 Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
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  • 26
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    Online Resource
    Cloud-Native C# web services with AWS, CLOUD9, ECR and App Runner (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Computer software Development ; C (Computer program language) ; Infonuagique ; C (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to use pure Cloud-Native tools to developer AWS Microservices in .NET 6.0. These services include: Cloud9, ECR, App Runner and Cloudshell. 00:00 Intro 00:43 AWS Microservices Architecture 02:00 Github C# Project Structure 02:23 AWS Cloud9 03:00 Building Docker Images for .NET 6 Web Service 04:00 Push to ECR 05:00 Setup AWS App Runner 06:47 Test service with AWS Cloudshell.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
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  • 27
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    Functions to containerized microservice continuous delivery [to AWS App Runner with Fast API] (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (34 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to deploy containerized Microservices using Cloud9, ECR, App Runner and FastAPI automatically with AWS Code 00:00 0:37 Continuous Delivery Architecture 01:06 AWS App Runner 01:41 Building Containerized Microservices with FastAPI 03:22 Pinning requirements.txt to a specific version 06:10 Running FastAPI 10:40 Setup ECR 14:19 Setup ECR with AWS App Runner 16:10 Create containerized Flask API Microservice in Github Codespaces 18:54 Testing Swagger UI in Github Codespaces 20:11 Verify FastAPI Microservice in AWS App Runner 22:20 Setup AWS Code Build for Continuous Deployment with App Runner 30:12 Architectural Overview of Continuous Deployment 32:35 Verify Continuous Deployment with AWS Code Build and App Runner.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 28
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    Online Resource
    Deploying containers to Azure (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Windows Azure ; Cloud computing ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Deploy a containerized web app to Azure There are many services out there that allow you to deploy a container to the cloud. Although a straightforward operation, it is critical to understand how to create a robust automation deployment system. This course will create a Python Flask application from scratch, will containerize it, set the automation for it and then deploy it to Azure. This course lays out the foundations for creating more powerful containerized applications beyond the simple examples. You can add a Machine Learning model into the container and the end result would be the same: a robust deployment system that can get changes quickly onto Azure with any changes to the main branch. The continuous deployment system is a game changer as a skill set, making you a far more valuable engineer. In this video you will learn: Create a Python Flask application for containerization Use a Dockerfile to create the Flask container Use GitHub Actions to automatically deploy the container after a pull request or changes to the main branch Push your container to the GitHub container registry from the GitHub repository Create the web app on the Azure portal and connect it to GitHub Actions Host the containerized Python Flask application on Azure Debugging techniques for broken containers and other common errors like incorrect ports Useful Resources GitHub repository with sample code Free Azure Certification for Students Try Azure for Free AZ-900 Azure Fundamentals reference guide Azure SAMBA file share Azure Remote Compute for VSCode.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 29
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    Online Resource
    GitHub codespaces and custom dotfiles (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: GitHub Codespaces and custom dotfiles Add your dotfiles to any Codespace automatically Customize any GitHub Codespace you create or use by automatically getting your dotfiles in there with no effort! You only need a GitHub repository that contains your dotfiles to get this feature enabled in any Codespace you work on You also have the ability to have a setup.sh script that you can use to further customize how GitHub will add your dotfiles to your Codespace at creation time. Learning Objectives In this lesson you will learn: Configure a GitHub Codespace with dotfiles Create a repository with your own dotfiles Additional features you can try with dotfiles in Codespaces Useful Resources Dotfiles and Codespaces documentation Free Azure Certification for Students Introduction to GitHub Actions Run Python In GitHub Actions.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
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  • 30
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    Automated Azure resource cleanup (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/12
    Keywords: Windows Azure ; Cloud computing ; Windows Azure ; Cloud computing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Automated deletion of Azure Resources Prevent surprise bills with automation Prevent your Azure bill from running wild! In this video I show how you can automate the removal of Azure resources on demand or by schedule. With GitHub Actions and an Azure account you can prevent services from running wild and causing unnecessary billing overcharges! With automation in place, there is no need to remember what VM you left running! First, you'll start by creating a GitHub Action that authenticates to Azure, then you will query locally your resource groups to identify which ones you can delete. Next, you will port the query over to the Action workflow. Finally, you will delete resources that match, making sure those are fully removed, preventing a large bill. You will need a GitHub and Azure account, an Azure Service Principal and the Azure CLI installed locally. Learning Objectives In this lesson you will learn: Create a GitHub Action workflow to query Resource Groups Query Resource Groups that match locally Use scripting to extract Resource Group names Remove Resource Groups with the Azure CLI in GitHub Actions Useful Resources Sample GitHub repository Create an Azure Service Principal for GitHub Actions Azure Service Principal documentation Install Azure CLI Free Azure Certification for Students Introduction to GitHub Actions Run Python In GitHub Actions.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 20, 2022). - Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 31
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    52 Weeks of AWS : AWS ML certification; Part 2: What is ML? (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (31 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Machine learning ; Artificial intelligence ; Web services ; Amazon Web Services (Firm) ; Artificial intelligence ; Cloud computing ; Machine learning ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to pass the AWS ML Certification Part 2 00:00 Intro 01:56 Artificial intelligence, machine learning, and deep learning. 02:34 Artificial Intelligence 03:10 Machine Learning 03:58 Deep learning 05:11 ML and technology advancements 06:00 Common ML Use Cases 08:14 Types of machine learning 09:21 Supervized learning 10:17 Computer vision 11:08 Unsupervized learning 12:44 Natural language processing 13:20 Reinforcement learning 14:34 Self-driving vehicles 15:04 When to use machine learning 15:35 ML pipeline: Business 16:23 ML pipeline: Data preparation 17:22 ML pipeline: Iterative model training 18:01 ML pipeline: Feature Engineering 19:25 ML pipeline: Model Training 20:18 ML pipeline: Evaluating and tuning the model 21:00 Overfitting and underfitting 22:48 Python tools and libraries 24:57 ML Frameworks 25:50 Amazon SageMaker 26:42 Machine learning managed services 28:30 Machine learning challenges.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
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  • 32
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    Applied Hugging Face (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (1 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Applied Hugging Face Learn to use Hugging Face to solve real-world problems 1.0 Introduction to Applied Hugging Face Course 1.1 Introduction to Hugging Face Hub: models, datasets, spaces and access tokens 1.2 Using GPU enabled Codespaces 1.3 Using Hugging Face CLI 1.4 Working with Datasets 1.5 Working with Models 2.0 Introduction to Transformers and Fine-tuning vs Supervized Learning (Transfer Learning) 2.1 Using Hugging Face with GitHub GPU-enabled Codespaces for Fine-tuning 3.0 Introduction to Hugging Face Spaces 3.1 Using Hugging Face Spaces 3.2 Deploying Hugging Face Spaces applications with GitHub Actions Topics Covered Include: Hugging Face Hugging Face Models Hugging Face Transformers Hugging Face Spaces Hugging Face Datasets GPU-enabled GitHub Codespaces OpenAI Whisper Hugging Face Tutorial Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed November 8, 2022)
    URL: lizenzpflichtig
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  • 33
    Online Resource
    Online Resource
    Assimilate AWS cloud development kit (CDK) (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Cloud computing ; Computer software Development ; Cloud computing ; Computer software ; Development ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate AWS Cloud Development Kit (CDK) Learning CDK During Live Coding This video series covers live coding CDK iteratively. Lessons Covered Include: 1.0 getting started with AWS Cloud9 and the AWS CDK or AWS Cloud Development Kit Learning Objectives Learn Infrastructure as Code (IaC) with AWS CDK Learning to build solutions with CDK Learning the key syntax and features of the CDK Python API and other languates Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    MPI Ethno. Forsch.
  • 34
    Online Resource
    Online Resource
    Assimilate Google Cloud (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (24 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6/782
    Keywords: Google ; Cloud computing ; Google ; Cloud computing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Google Cloud Learning During Live Coding This video series covers live coding the Language iteratively thus learning the language. Lessons Covered Include: 1.0 getting started Google Cloud shell apis cloudrun Learning Objectives Learn Google Cloud Learning to build solutions with Google Cloud Learning the key syntax and features of the Python Language on Google Cloud Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed November 28, 2022)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 35
    Online Resource
    Online Resource
    Azure in gitHub Actions (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/12
    Keywords: Windows Azure ; Cloud computing ; Windows Azure ; Cloud computing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Azure in GitHub Actions Authenticate to Azure with GitHub Actions If you need to use GitHub Actions and interact with Azure resources, you'll need to authenticate properly. Authenticating is made easy by direct Action support in a workflow, but it requires a Service Principal created in a specific way that produces output that is required to go into a GitHub Secret. Using a sample GitHub repository, the video lesson will cover all the details you need to know to get a working GitHub workflow step to authenticate to Azure and then use the Azure CLI to perform operations. Learning Objectives In this lesson you will learn: Create a GitHub Action workflow to login to Azure Create an Azure Service Principal with enough permissions Add a GitHub Actions Secret from the Service Principal Run the workflow that uses the Azure CLI Useful Resources Sample GitHub Repository GitHub Actions and GitOps in One Hour Run Python in GitHub Actions Azure Service Principal documentation How to install the Azure CLI Free Azure Certification for Students.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 21, 2022)
    URL: lizenzpflichtig
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  • 36
    Online Resource
    Online Resource
    Assimilate Databricks ML certification (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.31
    Keywords: Machine learning ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Assimilate Databricks ML Certification Learn to pass Databricks ML Certification weekly by example This video course will show you how to understand the Databricks ML Certification exam and how to pass it. Topics Covered Include: 1.0 Getting started with Databricks and the ML Certification using Azure 2.0 Introduction to using Databricks clusters, the interface, notebooks and the Pandas API for Spark Learning Objectives Learn Databricks ML Certification material Learn Databricks clusters, notebooks and the Pandas API for Spark Additional Popular Resources 52 Weeks of AWS-The Complete Series Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 13, 2022)
    URL: lizenzpflichtig
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  • 37
    Online Resource
    Online Resource
    Enterprise MLOps Interviews (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 39 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Enterprise MLOps Interviews Learn Enterprise MLOps from the experts This video series interviews the experts at MLOps to learn how to use MLOps to build and deploy ML models. Interviews Include: Introduction GPT-3: O'Reilly authors Shubham Saboo and Sandra Kublik: I talk with the authors of the new O'Reilly book GPT-3 about a range of topics, including why they wrote the book. Conversation with Piero Molino and Ludwig/Predibase: Detailed conversation about Declarative AutoML with Piero Molino, author of Ludwig and co-founder Predibase. Asaf Somekh, CEO Iguazio: Talk at Duke MIDS MLOps Course: Life of a Model (or the brutal reality of applying ML in enterprises and how to deal with it). Javier Luraschi and Pedro Luraschi, Co-Founders of Hal9.ai: Discuss MLOps with Javascript, including no-code and low-code approaches and Tensorflow.js. Topics Covered Include: Enterprise MLOps MLOps MLOps on AWS MLOps on GCP MLOps on Azure MLOps and DevOps MLOps with Ludwig Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! MLOps Platforms From Zero: DatMLOps Platforms From Zero: Databricks, MLFlow/MLRun/SKLearn AWS Machine Learning Certification In ONE HOUR Fast, documented Machine Learning APIs with FastAPI Zero to One: AWS Lambda with SAM and Python in One Hour AWS Storage Solutions 2022: EBS/S3/EFS/Glacier Python Bootcamp for Data Testing In Python book Minimal Python book Practical MLOps book Python for DevOps-Playlist.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 9, 2022)
    URL: lizenzpflichtig
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  • 38
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    Online Resource
    52 weeks of cloud : Episode 12: GPT-3 book (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Cloud computing ; Natural language processing (Computer science) ; Application program interfaces (Computer software) ; Artificial Intelligence ; Natural Language Processing ; Intelligence artificielle ; Infonuagique ; Traitement automatique des langues naturelles ; Interfaces de programmation d'applications ; artificial intelligence ; APIs (interfaces) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: I talk with the authors of the new O'Reilly book GPT-3 about a range of topics including why they wrote the book. 00:00 Intro 01:30 Why did you write the book? 11:30 Can you write code by talking with GPT-3? 16:00 Is Async Work + GPT-3 a good combination? 19:30 Replica 23:00 How could someone with no technical background write code by talking with GPT-3? 29:30 Could we have organic technology where companies don't harm humans at scale? 39:00 The challenges of making ethical AI software 42:00 Do Tech companies pretend they cannot be ethical, but don't because it lowers profits? 45:00 You cannot predict what they models will do 49:00 Do tech leaders set the values of their companies? 52:00 Are humans often lacking in moral values with technology as well? 54:00 How you can buy the book and follow the authors.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
    URL: lizenzpflichtig
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  • 39
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    Online Resource
    52 Weeks AWS : Episode 13: Sa cert-databases (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn to pass the AWS Solutions Architect Exam by learning about Databases 00:00 Intro 03:21 Storage Requirements 07:41 RDS Characteristics 12:03 RDS Demo 16:00 DynamoDB 19:21 DynamoDB Demo 23:40 DynamoDB Demo with AWS CloudShell and Boto3 and Python.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 9, 2022)
    URL: lizenzpflichtig
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  • 40
    Online Resource
    Online Resource
    52 weeks AWS : Episode 19: Solutions architect-decouple (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Continue to learn about AWS Solutions Architecture on the topic of Decoupling 00:00 Intro 04:00 Forms of decoupling 07:00 SQS 12:00 SQS Use Cases 19:27 SNS 23:21 SNS vs SQS.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
    URL: lizenzpflichtig
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  • 41
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    Online Resource
    52 weeks of AWS : Episode 21: Building microservices (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (30 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.7/6
    Keywords: Amazon Web Services (Firm) ; Web applications ; Application software Development ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this episode of 52 weeks of AWS I continue to cover the solutions architect certification. The topic of building Microservices is the focus today. 00:00 Intro 00:38 Discuss new weekly office hours from noahgift.com for O'Reilly books and Coursera courses. 02:00 What are Microservices? 03:35 What are Microservices? 04:00 Characteristics of Microservices 06:00 What is a container? 09:00 ECS orchestration 11:00 Decomposing monolithic applications 12:32 AWS Fargate 13:00 What is serverless? 15:00 AWS Serverless offerings 15:30 AWS Lambda 23:00 AWS API Gateway 26:00 AWS Step Functions
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
    URL: lizenzpflichtig
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  • 42
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    Online Resource
    52 weeks AWS : planning for disaster; Episode 22: Solutions Architect (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Episode 22 covers the preparing for Disasters. 00:00 Intro 02:37 Planning for failures 03:34 Avoiding and planning for disasters 05:37 Using the Well-Architected Framework design principles 05:51 Recovery Point objectives (RPO) 06:34 Recovery time objective (RTO) 07:12 Plan for disaster recovery 08:03 Storage and backup building blocks 09:50 S3 Cross-Region replication 10:41 EBS volume snapshots 11:41 File system replication 12:50 Compute Capacity recovery 13:44 Strategies for disaster recovery 15:01 Networking design for resilience 15:34 Databases and recovery 16:45 Automation Services: CloudFormation, Elastic Beanstalk and AWS OpsWorks 17:38 Four disaster recovery strategies: Backup and restore, Pilot light, Warm Standby and Multi-site 18:23 AWS Storage Gateway 24:00 Summary of common DR patterns.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
    URL: lizenzpflichtig
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  • 43
    Online Resource
    Online Resource
    52 weeks of AWS : Episode 23: Bridging to Solutions Architect certification (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Amazon Web Services (Firm) Certification ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to prepare for the AWS Solutions Architect Exam.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
    URL: lizenzpflichtig
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  • 44
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    Online Resource
    52 Weeks of AWS : Episode 25: AWS ML Cert-Sagemaker pipelines, part 2 (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (35 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn to pass the AWS ML Certification with a deep dive into Part 2 of the Sagemaker Pipelines material. 00:00 Intro 02:39 Drop missing values 04:46 Outliers 06:57 Feature selection 10:55 File formats for machine learning 13:46 K-fold cross validation 15:55 Training models with Amazong SageMaker 17:33 XGBoost 19:29 Is your model ready to deploy? 22:05 Creating an endpoint 23:26 Machine learning pipeline 25:30 Confusion matrix 27:27 Sensitivity 29:02 Classification report: ROC graph 30:51 Hyperparameter categories 32:06 Sagemaker hyperparameter tuning.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
    URL: lizenzpflichtig
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  • 45
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    Online Resource
    Fifty-two weeks of AWS : Episode 26: Sagemaker pipeline (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Amazon Web Services (Firm) ; Cloud computing ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sagemaker pipelines and the AWS ML Certification 00:00 Intro 03:00 Define business objectives 05:00 Problem framing 07:20 Problem formulation 11:10 What data do you need? 12:37 Observations 14:15 Storing data in AWS 16:21 ETL 17:41 Securing data 19:19 Loading data into pandas 20:18 Descriptive statistics 23:25 Feature selection and extraction 24:40 Encoding ordinal data 25:48 Cleaning data 26:39 Missing values.
    Note: TItle details screen lists the episode as 25, actual video is for episode 26. - Online resource; title from title details screen (O'Reilly, viewed June 20, 2022)
    URL: lizenzpflichtig
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  • 46
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    Online Resource
    52 weeks AWS : Episode 18: Solutions architect continued-automate infra (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (20 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Amazon Web Services (Firm) ; Infonuagique ; Services Web ; Cloud computing ; Web services ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Continue learning about Solutions Architect certification this time with automation. Opsworks, Beanstalk, Chef and Cloud Formation. 00:00 Intro.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
    URL: lizenzpflichtig
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  • 47
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    Online Resource
    52 weeks of Amazon Web Services : Episode 19: Solutions architect caching (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Infonuagique ; Services Web ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Learn about caching content in the next episode of 52 weeks of AWS 00:00 Intro 00:40 Trading capacity for speed 03:00 Why Cache? 06:00 CloudFront 12:00 DDoS mitigation 14:00 Sticky sessions 17:00 Side Caches 20:00 Memcached versus Redis 21:09 Caching Strategies.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 26, 2022)
    URL: lizenzpflichtig
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  • 48
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    52 weeks of cloud : Episode 28: Conversation with Piero Molino and Ludwig/Predibase (2022)
    [Place of publication not identified] : Pragmatic AI Solutions
    Details
    Language: English
    Pages: 1 online resource (1 video file (51 min.)) , sound, color.
    DDC: 004.67/82
    Keywords: Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Detailed conversation about Declarative AutoML with Piero Molino author of Ludwig and co-founder Predibase. 00:00 Intro 00:50 First meeting Piero at Strata in Moscone Center 10:50 Why Declarative AutoML? 12:00 Introducing Declarative ML Systems 16:44 Ludwig: declarative ML systems on PyTorch 18:06 Github Statistics for Ludwig 19:51 Ludwig training example via CLI 21:09 pip install ludwig and using the Programmatic API 26:32 How does Ludwig work? 26:53 Training with Ludwig 27:34 Predicting with Ludwig 29:59 Running Experiments with Ludwig 31:04 ludwig experiment --dataset 32:09 Input - Encoder - Decoder - Output 34:15 ParallelCNN encoding 35:42 Pretrained Transformers: bert distilbert t5 roberta gpt-2 40:44 concat combiner 41:18 Number features decoding 41:37 Vector featuers decoding 41:52 Sequence features decoding 42:30 Training parameters: batch_size, epochs, learning_rate, ... 43:07 Preprocessing parameters 43:33 Speaker Verification 44:03 Expected Time of Delivery 44:35 Summarization 45:04 Distributed Training, Ludwig on Ray 45:23 Running Ludwig on Ray 47:18 Ludwig Hyperpot with RayTune (Advanced) 48:51 Ludwig on Kubernetes 49:15 Managed Ludwig in Predibase 49:54 Predibase: Low-code ML, High-Performance.
    Note: Presenters, Noah Gift and Piero Molino. - Online resource; title from title details screen (O'Reilly, viewed June 27, 2022)
    URL: lizenzpflichtig
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  • 49
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    When to adopt cloud native infrastructure (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Cloud computing ; Computer architecture ; Electronic books ; Electronic books ; local
    Abstract: Many companies are building applications for cloud platforms to gain greater agility, cost savings, security, and reliability than they could with similar capabilities in-house. But even the best cloud native application can go to waste without the right design and practices to manage infrastructure. This article provides guidelines to help your company determine when-and if-to adopt your own cloud native infrastructure. You'll learn the impact that building and maintaining infrastructure of this type can have on your applications, people, systems, and business as a whole.
    Note: Date of publication from resource description page. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed June 17, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781492042006/?ar
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  • 50
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    Essentials of Microsoft Azure (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 29 min., 44 sec.)) , digital, sound, color
    Keywords: Windows Azure ; Cloud computing ; Database management ; Electronic videos ; local
    Abstract: "Learn how to plan your migration to the cloud in this introductory-level course that teaches you the concepts of cloud computing and how to implement a cloud model using Microsoft Azure. You'll study the different cloud deployment types available; observe how experts choose the correct implementation model for their businesses; learn about Azure's costs, functions, tools, services, advantages, and disadvantages; and explore the key factors to consider when moving to a cloud-based system. You'll come away with the knowledge required to resolve real world implementation issues (e.g., back-up and recovery, uptime, scaling, and software delivery-on-demand concerns) and gain a deep awareness of the efficiencies cloud computing offers (e.g., reduced operational costs, improved agility, and reliability)."--Resource description page.
    Note: Date of publication from resource description page. - Title from title screen (viewed April 4, 2018)
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  • 51
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    Managing cloud native applications (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Cloud computing ; Computer architecture ; Electronic books ; Electronic books ; local
    Abstract: What you'll learn and how you can apply it:Cloud native applications are designed to be maintained by infrastructure. This lesson will offer best practices for designing resilient, simple solutions and give you some starting points for making your applications run smoothly on cloud native infrastructure.This lesson is for you because you are a cloud engineer who wants to learn best practices for making applications run smoothly on cloud native infrastructure.
    Note: "From Cloud native infrastructure by Justin Garrison & Kris Nova"--Cover. - Date of publication from resource description page. - Description based on online resource; title from title page (Safari, viewed February 22, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492037071/?ar
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    First steps into the cloud and continuous delivery (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Cloud computing ; Web applications ; Development ; Electronic books ; Electronic books ; local
    Abstract: To remain competitive in today's digital world, large businesses need to move fast. That's why so many companies plan to shift from monolithic onsite architectures to applications designed solely to operate on cloud computing platforms. But how do companies successfully migrate toward cloud-native technologies and practices? This article examines challenges identified by respondents to the Cloud Platform Survey that businesses face as they take their first steps into the cloud. It also describes key best practices and enabling tools for continuous integration and delivery, automation, and monitoring.
    Note: "From Cloud native evolution by Alois Mayr, Peter Putz, Anna Gerber & Dirk Wallerstorfer"--Cover. - Date of publication from resource description page. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 6, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492036890/?ar
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  • 53
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    Building observable systems in Java (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Java (Computer program language) ; Cloud computing ; Electronic books ; Electronic books ; local
    Abstract: This lesson is for Java/JVM developers who want to build observable, production-worthy systems. This lesson examines the nonfunctional or cross-functional capabilities that all applications need in order for developers to operationalize them. The lesson focuses on observability-a measure for how well internal states of a system can be inferred by knowledge of its external outputs.
    Note: "From Cloud native Java by Josh Long & Kenny Bastani"--Cover. - Date of publication from resource description page. - Description based on online resource; title from title page (Safari, viewed February 21, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492037118/?ar
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  • 54
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    Prototyping with Origami Studio : a beginner's guide (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 7 min., 50 sec.)) , digital, sound, color
    Keywords: Computer-aided design ; Computer programs ; Rapid prototyping ; User interfaces (Computer systems) ; Design ; Web site development ; Electronic videos ; local
    Abstract: "Today's world is all about smart phone and computers, but creating the apps and websites that run on these devices can take a year or more to complete. Prototypes are typically non-functioning models of apps and websites that give developers and designers the edge on this lengthy creation process. Why? Because prototypes can be assembled in as little as a single day, saving them time and money. This course teaches you how to use Origami, a prototyping tool created by designers at Facebook that makes it easy to create prototypes for smart apps and websites. You'll explore Origami's interface, learn the principles of prototyping, and gain experience assembling and disseminating a basic prototype."--Resource description page.
    Note: Title from title screen (viewed May 21, 2018)
    URL: lizenzpflichtig
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  • 55
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    Serverless fundamentals for microservices : an introduction to core concepts and best practices (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 19 min., 36 sec.)) , digital, sound, color
    Keywords: Application software ; Development ; Web services ; Cloud computing ; Distributed operating systems (Computers) ; Computer architecture ; Electronic videos ; local
    Abstract: "Serverless technology offers an attractive proposition: it frees us from much of the administration work we've worried about in the past, giving us more time to focus on building great software. But there's a lot of hype around the technology too. In this video series, microservices expert Sam Newman explains what serverless is, dives into the details of the features it provides, highlights its challenges, and shares his insights on how to get the best out of it. You'll come away with a concrete understanding of how to use serverless technology to implement microservice architecture and how to best integrate serverless into your existing applications."--Resource description page.
    Note: Title from title screen (viewed May 7, 2018)
    URL: lizenzpflichtig
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  • 56
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    Advanced database principles and REST in Grails 3 (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 46 min., 1 sec.)) , digital, sound, color
    Keywords: Grails (Computer file) ; Groovy (Computer program language) ; Web site development ; Application software ; Development ; Open source software ; Electronic videos ; local
    Abstract: "In this video course, expert Java trainer and consultant Ken Kousen explores advanced database features that include switching databases, using multiple databases in a single Grails application, and how to invoke stored procedures by bypassing Hibernate. He also reveals how to map data to an existing database using Grails 3 custom ORM mapping tags. From there, he dives into a review of REST principles. He builds a RESTful web service using the rest-api profile, adds a RESTful controller, and looks at JSON views. Finally, he shows you how to conduct an integration test using a REST client."--Resource description page.
    Note: Title from title screen (viewed May 11, 2017)
    URL: lizenzpflichtig
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  • 57
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    Information management using Azure Data Factory : automate data transfer to run pipelines at scale (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 16 min., 51 sec.)) , digital, sound, color
    Keywords: SQL server ; Database management ; Application software ; Development ; Cloud computing ; Electronic videos ; local
    Abstract: "Azure Data Factory (ADF) is a component of Microsoft's Cortana Intelligence Suite. It is a cloud-based data movement service that allows you to prepare, analyze, publish, and monitor your data, and run pipelines on a specified schedule. In this video, you'll learn how to utilize all elements of the ADF to help you manage data at scale in the cloud and on premises. We'll cover how to set up your environment to transfer data between your on-premise server, the Azure data store, and your Azure Machine Learning models, and how to use visualizations that indicate the lineage and dependencies between your data pipelines. You'll also learn how to set up monitoring alerts so you can identify issues easily and quickly."--Resource description page.
    Note: Title from title screen (viewed August 21, 2017)
    URL: lizenzpflichtig
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  • 58
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    Declarative React : learning React Router 4 (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (47 min., 21 sec.)) , digital, sound, color
    Keywords: React (Electronic resource) ; Web site development ; Web applications ; Computer programs ; Electronic videos ; local
    Abstract: "If you are looking for a best-in-class routing option for React, look no further than React Router 4. It provides a great library for your React or React Native projects with a simple syntax. In this course, we'll explore the basics of Router 4 and apply them to two projects: a React web application and a React Native application. We'll explore the library in detail, covering subjects such as basic routing, linking, code-splitting, animation in routing, and much more. Learners must have JavaScript ES6 standards experience and basic React app development experience."--Resource description page.
    Note: Title from title screen (Safari, viewed September 26, 2017). - Release date from resource description page
    URL: lizenzpflichtig
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  • 59
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    Deploying Elastic Cloud Compute (EC2) instances : learn how to deploy basic EC2 instances with Windows or Linux on Amazon Web Services (AWS) (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 13 min., 35 sec.)) , digital, sound, color
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Electronic videos ; local
    Abstract: "This course examines a key process for AWS: The process of deploying a basic EC2 instance using either Linux or Windows. It demonstrates how to connect to those instances, explains how to manage the underlying images and snapshots, and compares EC2 to other AWS services like Elastic Beanstalk and Lightsail. Learners should understand how to use SSH (secure shell) and have access to an AWS account (i.e., capable of deploying EC2 instances and working with security groups, key pairs, snapshots, and billing)."--Resource description page.
    Note: Title from title screen (Safari, viewed September 29, 2017). - Release date from resource description page (Safari, viewed September 29, 2017)
    URL: lizenzpflichtig
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  • 60
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    Introduction to cloud native architecture patterns (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (36 min., 37 sec.)) , digital, sound, color
    Keywords: Cloud computing ; Web applications ; eXtreme programming ; Electronic data processing ; Distributed processing ; Electronic videos ; local
    Abstract: "In this video course, software architecture veteran Matt Stine describes the history of pattern languages and shows how they help us communicate about software architectures. He introduces a pattern language specifically well suited for cloud architecture--the Brick and Mortar Pattern Language--and examines the three metaphors that influenced its creation: the LEGO Building System, interchangeable parts, and cellular organic systems."--Resource description page.
    Note: Title from title screen (viewed May 5, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 61
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    The frontend's high performance responsive design (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Web sites ; Design ; Web site development ; Mobile computing ; Electronic books ; Electronic books ; local
    Abstract: Yes, you can use responsive web design to create high performance, compelling websites. With this practical book, author Tom Barker demonstrates that responsive design is not just a frontend-only approach, but also a philosophy for taking advantage of the entire web stack. Responsive design patterns and anti-patterns, derived from heavily used real-world sites, are guiding principles throughout the book.
    Note: "From High performance responsive design by Tom Barker"--Cover. - Date of publication from resource description page. - "Lesson"--Cover. - Description based on online resource; title from title page (Safari, viewed January 11, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492030379/?ar
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  • 62
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    Cloud native architecture pattern externalized configuration (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (35 min., 51 sec.)) , digital, sound, color
    Keywords: Cloud computing ; Web applications ; Electronic data processing ; Distributed processing ; Electronic videos ; local
    Abstract: "In this video course, software architecture veteran Matt Stine explains the cloud native architecture pattern called externalized configuration. He defines the problems traditional configuration management techniques create when configuration varies independently from code throughout an application's lifecycle. He then describes the externalized configuration variants that are leveraged within cloud native application architectures. Finally, he explores the best practices for implementing this pattern; reviews the pros and cons; and shows how externalized configuration relates to the other Brick and Mortar patterns."--Resource description page.
    Note: Title from title screen (viewed May 5, 2017). - Date of publication from resource description page
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  • 63
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    Deploying Spark ML pipelines in production on AWS : how to publish pipeline artifacts and run pipelines in production (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (23 min., 20 sec.)) , digital, sound, color
    Keywords: Amazon Web Services (Firm) ; SPARK (Electronic resource) ; Machine learning ; Cloud computing ; Electronic books ; Electronic videos ; local
    Abstract: "Translating a Spark application from running in a local environment to running on a production cluster in the cloud requires several critical steps, including publishing artifacts, installing dependencies, and defining the steps in a pipeline. This video is a hands-on guide through the process of deploying your Spark ML pipelines in production. You'll learn how to create a pipeline that supports model reproducibility--making your machine learning models more reliable--and how to update your pipeline incrementally as the underlying data change. Learners should have basic familiarity with the following: Scala or Python; Hadoop, Spark, or Pandas; SBT or Maven; Amazon Web Services such as S3, EMR, and EC2; Bash, Docker, and REST."--Resource description page.
    Note: Title from title screen (Safari, viewed January 15, 2018). - Release date from resource description page (Safari, viewed January 15, 2018)
    URL: lizenzpflichtig
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  • 64
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    Introduction to the Amazon Elasticsearch Service : learn to search and analyze big data using the Amazon Elasticsearch Service (ES) (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 6 min., 14 sec.)) , digital, sound, color
    Keywords: Amazon Web Services (Firm) ; Big data ; Cloud computing ; Data mining ; Electronic videos ; local
    Abstract: "Amazon Elasticsearch Service (ES) is a specific implementation of the Elasticsearch big data search engine. In this course, you'll explore Amazon ES, discover its quirks, and learn to use it to search and analyze data on AWS clusters. Designed for software developers with a basic understanding of Elasticsearch, the course walks you through several examples of importing and analyzing both text data and log data on a real Amazon ES domain."--Resource description page.
    Note: Title from title screen (viewed May 24, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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    Web performance is user experience (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Web sites ; Design ; Web site development ; Electronic books ; Electronic books ; local
    Abstract: As a web designer, you encounter tough choices when it comes to weighing aesthetics and performance. Good content, layout, images, and interactivity are essential for engaging your audience, and each of these elements has an enormous impact on page load time and the end-user experience. In this practical book, Laura Hogan helps you approach projects with page speed in mind, showing you how to test and benchmark which design choices are most critical.
    Note: Date of publication from resource description page (Safari, viewed December 5, 2017). - "From Designing for performance by Lara Callender Hogan.". - "Lesson.". - Description based on online resource; title from cover (viewed December 5, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781492029823/?ar
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  • 66
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    Learn how to build intelligent data applications with Amazon Web Services (AWS) : understanding and using AWS products and services, AWS Data Pipeline, Kinesis Analytics, RDS and Redshift databases, and Amazon Machine Learning (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 23 min., 42 sec.)) , digital, sound, color
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Web services ; Machine learning ; Electronic videos ; local
    Abstract: "This course shows you how to use a range of AWS services to create intelligent end-to-end applications that incorporate ingestion, storage, preprocessing, machine learning (ML), and connectivity to an application client or server. The course is designed for data scientists looking for clear instruction on how to deploy locally developed ML applications to the AWS platform, and for developers who want to add machine learning capabilities to their applications using AWS services. Prerequisites include: Basic awareness of Amazon Simple Storage Service (S3), Elastic Compute Cloud (EC2), and Amazon Elastic MapReduce; as well as some knowledge of ML concepts like classification and regression analysis, model types, training and performance measures; and a general understanding of Python."--Resource description page.
    Note: Title from title screen (viewed August 10, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 67
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    Learn to build web applications with PHP, MySQL, and JavaScript : a comprehensive look at the skills and tools used in building websites and mobile apps (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (11 hr., 21 min., 55 sec.)) , digital, sound, color
    Keywords: Web applications ; Development ; Web site development ; Mobile apps ; Development ; Application software ; Development ; Mobile computing ; Electronic videos ; local
    Abstract: "Becoming a professional full stack web developer requires a solid understanding of the software tools most commonly used to create websites and mobile apps: JavaScript, jQuery, HTML, CSS, PHP, and MySQL. This course teaches you about each of these tools, including their purpose, how they interact with the other tools, and detailed instruction on how to use them. Steve also covers the skill sets used in web development, such as image manipulation, page design, and database development. You'll learn how modern websites really work, as well as gain hands-on experience using the tools and skill sets the professionals use to make those websites."--Resource description page.
    Note: Title from title screen (viewed July 28, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 68
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    Optimizing images (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Web sites ; Design ; Web site development ; Electronic books ; Electronic books ; local
    Abstract: Uncover the best practices for use and optimization for each file type. Included in this excerpt are techniques to optimize the way images are loaded into web pages, such as spriting or replacing them with CSS or SVG. Lastly, we'll cover what you can do to increase the longevity of your optimized image solutions, including implementing style guides or automated workflows for image compression.
    Note: "From Designing for performance by Lara Callender Hogan"--Cover. - Date of publication from resource description page. - "Lesson"--Cover. - Description based on online resource; title from title page (Safari, viewed January 10, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781492030393/?ar
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    Get started with Amazon Data Storage, using S3 and Glacier : master AWS Simple Storage Service (S3) and AWS Glacier to collect, process, store, and analyze data (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 14 min., 21 sec.)) , digital, sound, color
    Keywords: Amazon.com (Firm) ; Web services ; Cloud computing ; Big data ; Electronic videos ; local
    Abstract: "Understanding how to use Amazon Web Services (AWS) has become a must-have skill for virtually anyone working in Big Data. In this course, certified AWS expert Ben Butler shows you how to use AWS while also teaching you core Big Data concepts like life cycles, time requirements, characteristics, dimensions, and design patterns for Big Data workflows. The course includes an overview of the distinct web services provided by AWS for big data related workloads, as well as a hands-on demonstration of Amazon S3 (Simple Storage Service), and introductions to both Amazon DynamoDB and Amazon Glacier. Learners should have a basic understanding of the command line interface and an AWS account with API keys."--Resource description page.
    Note: Title from title screen (viewed April 21, 2017)
    URL: lizenzpflichtig
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    Using IPV6 with AWS Virtual Private Cloud (VPC) : an introduction to working with IPV6 and Amazon Web Services VPC (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 29 min., 19 sec.)) , digital, sound, color
    Keywords: TCP/IP (Computer network protocol) ; Computer network protocols ; Web services ; Cloud computing ; Electronic videos ; local
    Abstract: "The IoT, mobile devices, and governmental requirements are making IPV6 a mandatory part of system design. This class describes how IPV6 works, how it's different from IPV4, and how to set up and secure your Virtual Private Cloud (VPC) in Amazon Web Services (AWS) using IPV6. The class covers setting up IPV6 VPCs, upgrading existing IPV4 VPCs, network security, and how to troubleshoot your networks. Learners should have previous experience with the AWS management console, network administration, and the Linux CLI."--Resource description page.
    Note: Title from resource description page (Safari, viewed July 7, 2017)
    URL: lizenzpflichtig
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    Analyzing big data with Spark and Amazon EMR : learning to harness the power of cloud computing to analyze big data when you don't have a cluster of your own (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 24 min., 13 sec.)) , digital, sound, color
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Big data ; Cloud computing ; Data mining ; Electronic videos ; local
    Abstract: "This is a hands-on course where Amazon Web Services pro Frank Kane shows you how to rent Amazon's Elastic MapReduce service (EMR) at minimal cost and use it to run Spark scripts on top of a real Hadoop cluster. Kane's approach is fun: You'll learn a Big Data analysis process by actually deploying Spark on EMR to build a working movie recommendation engine using real movie ratings data."--Resource description page.
    Note: Title from title screen (viewed April 18, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 72
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    Building microservices with Spring : using Spring cloud to build and deploy microservices within a distributed system (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (5 hr., 45 min., 45 sec.)) , digital, sound, color
    Keywords: Application software ; Development ; Java (Computer program language) ; Spring (Software framework) ; Distributed operating systems (Computers) ; Computer architecture ; Cloud computing ; Electronic videos ; local
    Abstract: "Spring expert Kevin Bowersox offers a clear and practical path to building and deploying microservices in this detailed look at the Spring software components used to create those systems. This is a hands-on course designed for intermediate level Java developers. You'll review the meaning of microservice architecture and distributed systems; learn the basics of using Spring Boot and Spring Cloud; learn to use the Spring-based toolsets for service discovery, service registry, routing, load balancing, and fault tolerance; see how Spring Cloud makes it easier to access Netflix components; and build a small scale microservices project of your own."--Resource description page.
    Note: Title from title screen (viewed February 22, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 73
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    Using Elastic Cloud Compute (EC2) with RDS and PHP web applications : learn how to deploy a database backed web application with EC2 and RDS (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 8 min., 53 sec.)) , digital, sound, color
    Keywords: Cloud computing ; Web applications ; Electronic videos ; local
    Abstract: "This course examines the process of using Amazon Web Services (AWS) EC2 as a platform for a database backed web application. It describes how to deploy an EC2 instance and a RDS instance, how to connect the EC2 instance and the RDS instance, how to connect PHP to the RDS database, and how to retrieve data. Learners will come away with an understanding of how to deploy EC2 with an application whether that application is PHP based or using another language. Requirements include basic understanding of SSH (Secure Shell), MySQL databases, and access to an AWS account (i.e., capable of deploying EC2 and RDS instances, working with security groups, key pairs, snapshots, and billing)."--Resource description page.
    Note: Title from title screen (viewed October 3, 2017). - Publication date from resource description page (Safari, viewed September 29, 2017)
    URL: lizenzpflichtig
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    Introduction to Amazon machine learning : learn how to build data driven predictive applications with Amazon Web Services (AWS) (2017)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491991138
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 47 min., 25 sec.)) , digital, sound, color
    Keywords: Amazon Web Services (Firm) ; Machine learning ; Cloud computing ; Big data ; Electronic videos ; local
    Abstract: "This course shows you how to build a model using Amazon Machine Learning (Amazon ML) and use it to make predictions. AWS expert Dan Moore covers the basic types of machine learning, how to prepare your data, and how to make your data available to the Amazon Machine Learning processes. You'll also learn about evaluating a model for accuracy, using it both for batch and real-time predictions, and using tags to manage environments. Designed for developers and technical marketers new to machine learning and for data scientists interested in using the AWS Amazon ML platform, the course provides hands-on experience building a working predictive model using real data. Learners should obtain an AWS account (free from Amazon) and a basic understanding of AWS concepts before beginning the course."--Resource description page.
    Note: Title from title screen (viewed July 31, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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    An introduction to machine learning models in production : how to transition from one-off models to reproducible pipelines (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (39 min., 56 sec.)) , digital, sound, color
    Keywords: Machine learning ; Cloud computing ; Quantitative research ; Mathematical statistics ; Data processing ; Electronic books ; Electronic videos ; local
    Abstract: "This course lays out the common architecture, infrastructure, and theoretical considerations for managing an enterprise machine learning (ML) model pipeline. Because automation is the key to effective operations, you'll learn about open source tools like Spark, Hive, ModelDB, and Docker and how they're used to bridge the gap between individual models and a reproducible pipeline. You'll also learn how effective data teams operate; why they use a common process for building, training, deploying, and maintaining ML models; and how they're able to seamlessly push models into production. The course is designed for the data engineer transitioning to the cloud and for the data scientist ready to use model deployment pipelines that are reproducible and automated. Learners should have basic familiarity with: cloud platforms like Amazon Web Services; Scala or Python; Hadoop, Spark, or Pandas; SBT or Maven; Bash, Docker, and REST."--Resource description page.
    Note: Title from title screen (Safari, viewed January 15, 2018). - Release date from resource description page (Safari, viewed January 15, 2018)
    URL: lizenzpflichtig
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  • 76
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    Online Resource
    Introduction to Adobe Experience Design (XD) : learn the basics of using Adobe XD to prototype web sites and apps without having to code anything (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 6 min., 58 sec.)) , digital, sound, color
    Keywords: Web site development ; Web sites ; Design ; Application software ; Development ; Mobile apps ; Development ; Electronic videos ; local
    Abstract: "Adobe XD lets designers be designers by making it possible for them to create working prototypes of web sites and apps without writing a single piece of code. Adobe expert Andy Anderson teaches the basics of using Adobe XD and the process of building prototypes in this hands-on course where you don't just see the software, you use it to design an actual working prototype of a very tasty cooking app."--Resource description page.
    Note: Title from title screen (viewed May 5, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 77
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    Online Resource
    Working with Grails 3 controllers and services (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 17 min., 33 sec.)) , digital, sound, color
    Keywords: Grails (Computer file) ; Groovy (Computer program language) ; Web site development ; Application software ; Development ; Open source software ; Electronic videos ; local
    Abstract: "In this video course, expert Java trainer and consultant Ken Kousen uses a more complete domain model in Grails 3 to show how the static scaffolding works with the fields plugin to build a complete set of web pages for multiple tables. From there, he dives into the details of the generated view pages, which use Grails 3 custom tags and data exposed at different scopes, including flash scope. Finally, he reviews transactional services and dependency injection of service beans, and reveals how to access JSON data through a REST controller."--Resource description page.
    Note: Title from title screen (viewed May 11, 2017)
    URL: lizenzpflichtig
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  • 78
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    Online Resource
    Understanding the Grails 3 domain model (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 25 min., 4 sec.)) , digital, sound, color
    Keywords: Grails (Computer file) ; Groovy (Computer program language) ; Web site development ; Application software ; Development ; Open source software ; Electronic videos ; local
    Abstract: "In this video course, expert Java trainer and consultant Ken Kousen shows you how to build a simple Grails 3 application, starting with installation options, IDE usage, and learning how Grails handles HTTP requests and responses. He provides a quick primer on how to use the Groovy programming language to work comfortably in Grails before creating a new project from the Grails Application Forge. From there, he dives into the underlying architecture of a Grails 3 application, which includes adding controllers, seeing how responses are returned and rendered, and unit testing controllers."--Resource description page.
    Note: Title from title screen (viewed May 11, 2017)
    URL: lizenzpflichtig
    URL: lizenzpflichtig
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  • 79
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    Online Resource
    Beginning Java Web development : an introduction to lightweight development, deployment, and security (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491971499 , 1491971495
    Language: English
    Pages: 1 online resource (1 streaming video file (19 hr., 19 min., 45 sec.)) , digital, sound, color
    Keywords: Internet videos ; Streaming video ; Java (Computer program language) ; Web site development ; Electronic videos ; local ; Vidéos sur Internet ; Vidéo en continu ; streaming video ; Internet videos ; Streaming video ; Electronic videos
    Abstract: "Get practical experience in professional Java web programming for enterprises. Start by learning about web apps and databases using JavaServer Pages (JSP) and Plain Old Java Objects (POJOs). As you progress, you'll learn how to extend and improve upon a sample shopping cart web application. Finally, you'll spin up an Apache Tomcat web server and see how it all comes together."--Resource description page.
    Note: Title from resource description page (Safari, viewed September 9, 2016)
    URL: lizenzpflichtig
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  • 80
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    Online Resource
    Beginning Java Web development : an introduction to lightweight development, deployment, and security (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771376051
    Language: English
    Pages: 1 online resource (1 streaming video file (12 hr., 23 min., 27 sec.)) , digital, sound, color
    Keywords: Java (Computer program language) ; Web sites ; Design ; Web site development ; Electronic videos ; local
    Abstract: "In this Beginning Java Web Development training course, expert author Martin Kalin will teach you everything you need to know about Java web development. This course is designed for users that are familiar with writing, compiling, and executing Java applications. You will start by learning about web apps and databases using JSP and POJOs. From there, Martin will teach you about servlets, including the flow of control in servlets, code analysis, and concurrency issues in Java web apps. This video tutorial also features an example of a shopping cart as a web app, where you will learn how to extend and improve the shopping cart web app. Finally, you will learn about web app security, including wire-level security and user authentication and role authorization. Once you have completed this computer based training course, you will have learned everything you need to know about Java web development. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed April 22, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 81
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    Online Resource
    Learning Apache Tomcat : from installation to app deployment, monitoring, security, and troubleshooting (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (6 hr., 56 min., 18 sec.)) , digital, sound, color
    Keywords: Apache Tomcat ; Web servers ; Web site development ; Internet programming ; Electronic videos ; local
    Abstract: "Tomcat is a web server popular with Java programmers and system admins who need a superior web server to publish their web apps. Written in Java for the Java community, Tomcat is a free production grade web server that is open source, cross-platform (runs on Unix, Linux, Mac OSX, Windows), and very easy to install with no real need for configuration other than for security purposes. System admins love the lightweight Tomcat because it's a no-fuss web server with very reasonable defaults that are easy to customize. In this course, Java and Tomcat wizard Marty Kalin will show you everything you need to know to get Tomcat up and running."--Resource description page.
    Note: Title from title screen (viewed August 12, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 82
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    Online Resource
    Advanced Java development : from generics and collections to concurrency and data access (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (6 hr., 45 min., 58 sec.)) , digital, sound, color
    Keywords: Java (Computer program language) ; Object-oriented programming (Computer science) ; Web site development ; Web sites ; Design ; Electronic videos ; local
    Abstract: "You're a junior developer with a couple of years of Java under your belt and you've hit the Java wall of mystery. The knowledge blocker where complex concepts like concurrency and network programming or generics and collections leave you baffled and unable to proceed. In this video, Java wizard Ken Kousen de-mystifies all to transport you to a smarter place. A place where your newfound Java skills work magic into the day-to-day practices of database programming, network programming and back-end web development. Spells uncovered include: generic programming, concurrency, interfaces, inheritance, objects, the new I/O packages, working with relational databases, networking, testing, inner classes, and the new features of Java 8. Put on your cape and zoom."--Resource description page.
    Note: Title from title screen (viewed July 7, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 83
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    Online Resource
    An overview of cloud computing with Amazon Web Services : understand key AWS services, what they are used for, and when to use them (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771376037
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 40 min.)) , digital, sound, color
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Electronic videos ; local
    Abstract: "In this Overview of Cloud Computing with Amazon Web Services training course, expert author Steve Suehring will teach you about the services in AWS, what they are used for, and when to use them. This course is designed for the absolute beginner, meaning no prior experience with Amazon Web Services is required. You will start with an overview of compute services, then jump into learning about storage in AWS, including simple storage with S3, content delivery with CloudFront, and archival data services with Glacier. From there, Steve will teach you about databases in AWS, management-related services, and security. This video tutorial also covers networking, developer tools, and application layer services. Finally, you will learn about mobile-related services, analytics in AWS, and enterprise use cases with AWS."--Resource description page.
    Note: Title from title screen (Safari, viewed March 30, 2016). - Date of release from resource description page (Safari, viewed March 30, 2016)
    URL: lizenzpflichtig
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  • 84
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    Online Resource
    Building a complete Web application : hands-on website development with HTML, CSS, PHP, MySQL, Javascript and jQuery Mobile (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771375498
    Language: English
    Pages: 1 online resource (1 streaming video file (9 hr., 40 min., 18 sec.)) , digital, sound, color
    Keywords: Web site development ; Application software ; Internet programming ; Electronic videos ; local
    Abstract: "In this Building a Complete Web Application training course, expert author Steve Perry will teach you how to successfully build a complete web application. This course is designed for users that are familiar with HTML and have basic programming knowledge. You will start by learning how to set up your computer, install a local server, and find and use a hosting service. From there, Steve will cover the prerequisite knowledge, then jump into HTML, CSS, web graphics, JavaScript, and AJAX. This video tutorial will teach you about database design and implementation, how to integrate jQuery into the application, and how to work with mobile devices. Finally, you will learn about testing and validation, using social media for marketing, sending email with PHP, and implementing a shopping cart."--Resource description page.
    Note: Title from title screen (Safari, viewed March 11, 2016). - Date of publication from resource description page (Safari, viewed March 11, 2016)
    URL: lizenzpflichtig
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  • 85
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    Online Resource
    Predictive maintenance meets predictive analytics : gathering and analyzing IoT data for manufacturing (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (50 min., 58 sec.)) , digital, sound, color
    Keywords: Machinery ; Maintenance and repair ; Information technology ; Management ; Computer networks ; Maintenance and repair ; Internet of things ; Cloud computing ; Electronic videos ; local
    Abstract: "In a talk aimed at data scientists, students, researchers, and nontechnical professionals, Danielle Dean introduces the landscape and challenges of predictive maintenance applications in the manufacturing industry. Predictive maintenance, a technique to predict when an in-service machine will fail so that maintenance can be planned in advance, encompasses failure prediction, failure diagnosis, failure type classification, and recommendation of maintenance actions after failure. Danielle reviews predictive maintenance problems from the perspectives of both the traditional, reliability-centered maintenance field and IoT applications, discussing problem coverage, applicable predictive models based on data available, and what data must be collected to perform predictive maintenance tasks. You'll learn how to bridge the data-driven approach and the problem-driven approach by articulating what types of data are needed for different predictive maintenance applications."--Resource description page.
    Note: Title from title screen (viewed September 1, 2016)
    URL: lizenzpflichtig
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  • 86
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    Online Resource
    Building web APIs with ASP.NET 4.5 : learning how to build and deploy web apps to the Microsoft Azure Cloud (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374965
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 12 min., 25 sec.)) , digital, sound, color
    Keywords: Application program interfaces (Computer software) ; Web applications ; Development ; Microsoft .NET Framework ; Cloud computing ; Electronic videos ; local
    Abstract: "This course shows entry to mid-level Visual Studio developers how to create customized REST Web APIs using the ASP.NET framework and then how to deploy those APIs to Microsoft's Azure cloud computing platform. It begins with a description of the REST protocol and an overview of ASP.NET controllers and models, followed by a discussion of the Microsoft OWIN pipeline specification and how to write custom middleware to utilize that specification. It then moves into a detailed overview of Azure and how to host API systems in the cloud before finishing with an explanation of how to build C# and JavaScript client programs that can communicate with APIs from remote systems."--Resource description page.
    Note: Title from title screen (viewed October 19, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 87
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    Online Resource
    Advancing from jQuery 2 to jQuery 3 : what's new, when and why to upgrade (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (54 min., 24 sec.)) , digital, sound, color
    Keywords: Web sites ; Design ; JavaScript (Computer program language) ; Web site development ; HTML (Document markup language) ; Electronic videos ; local
    Abstract: "Advancing from jQuery 2 to jQuery 3 opens the door to new features and performance advantages, but is it right for your project? Explore new features in jQuery 3 such as Promises/A+, accelerated graphics, improved data binding, unwrap functionality, and animations. Expert Daniel Stern takes you through live demonstrations, in-depth lessons, and a TodoMVC project implemented on both jQuery 2 and 3 libraries. To get the most out of this course, viewers should have a basic understanding of HTML, JavaScript, and jQuery. Access to a PC or MAC workstation with administrator privileges is recommended."--Resource description page.
    Note: Title from title screen (viewed July 29, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 88
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    Online Resource
    Kubernetes and Prometheus : the beginning of a beautiful friendship (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (39 min., 17 sec.)) , digital, sound, color
    Keywords: Prometheus (Computer file) ; Cloud computing ; Web site development ; Computer software ; Development ; Electronic videos ; local
    Abstract: "Kubernetes and Prometheus are still pretty young, but somehow they immediately fell in love when they first met in early 2015. And now Prometheus has moved into the shiny new CNCF building that Kubernetes has called home for a while. Björn Rabenstein explores how the first two projects hosted by the Cloud Native Computing Foundation work together."--Resource description page.
    Note: Title from title screen (viewed May 11, 2018). - An excerpt from the O'Reilly 2016 Velocity Conference in Amsterdam
    URL: lizenzpflichtig
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  • 89
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    Online Resource
    Up to speed with PHP 7 : an intermediate developer's guide to changes and new features (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374910
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 56 min., 45 sec.)) , digital, sound, color
    Keywords: PHP (Computer program language) ; Web site development ; Electronic videos ; local
    Abstract: "In this Up to Speed with PHP 7 training course, expert author David Powers will teach you about the new features and changes in the next major version of PHP. This course is designed for users that already have a solid understanding of PHP. You will start by learning about what has changed in PHP 7, including internal changes, changes to existing features, and removed features. From there, David will teach you about new operators and functions and type checking. This video tutorial also covers classes and generators and error handling, including anonymous classes, generator delegation, and how to catch fatal errors. Finally, you will cover miscellaneous changes, such as using reserved words in classes, uniform variable syntax, and using assertions for debugging. Once you have completed this computer based training course, you will have learned all about the changes and new features in PHP 7. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed August 11, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 90
    Online Resource
    Online Resource
    Static site generators : why use them and how they work (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491955130
    Language: English
    Pages: 1 online resource (1 streaming video file (48 min., 26 sec.)) , digital, sound, color
    Keywords: Web site development ; Web sites ; Design ; Application software ; Development ; Client/server computing ; Electronic videos ; local
    Abstract: "For years now we've had powerful application servers like PHP, Node, and ColdFusion, that could create our web apps. But there has been a shift recently in terms of how much we do on an application server versus how much we can do on the browser itself, as well as how much is done on a mobile app instead. Static site generators provide a powerful middle ground between a full app server deployment and a simple collection of static files. In this webcast I'll talk about why you would use static site generators, how they work in general, how one (Harp) works in particular, and discuss how to add dynamic aspects back into the static site."--Resource description page.
    Note: Title from title screen (viewed March 10, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 91
    Online Resource
    Online Resource
    An intro to learning Apache Hadoop (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491939789
    Language: English
    Pages: 1 online resource (1 streaming video file (51 min., 22 sec.)) , digital, sound, color
    Keywords: Apache Hadoop ; Electronic data processing ; Distributed processing ; Cloud computing ; File organization (Computer science) ; Electronic videos ; local
    Abstract: "In this fast-paced, interactive, info-rich webcast led by Rich Morrow, we'll discuss: the value proposition of Hadoop, common use cases, how to run it on premises and in the cloud via AWS EMR."--Resource description page.
    Note: Title from title screen (viewed, September 29, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 92
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    Online Resource
    Building scalable web apps with Python and Google Cloud platform (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491939765
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 27 min., 15 sec.)) , digital, sound, color
    Keywords: Web applications ; Development ; Python (Computer program language) ; Cloud computing ; Electronic videos ; local
    Abstract: "We all know Python is well suited to building web applications. It also happens to be a great choice for building on Google Cloud Platform, Google's suite of cloud hosting services. In this presentation, Google engineer and O'Reilly author Dan Sanderson shows how to set up a Python cloud development environment, build a scalable web app using various Google services and tools, and deploy and manage a live application."--Resource description page.
    Note: Title from title screen (viewed November 4, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 93
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    Online Resource
    Introduction to cloud computing with Amazon Web Services : basic website and application deployment with AWS (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374118
    Language: English
    Pages: 1 online resource (1 streaming video file (4 hr., 5 min., 43 sec.)) , digital, sound, color
    Keywords: Cloud computing ; Web services ; Electronic videos ; local
    Abstract: "In this Introduction to Cloud Computing with Amazon Web Services training course, expert author Mark Nunnikhoven will teach you about AWS and how to deploy a web application in AWS. This course is designed for the absolute beginner, meaning no experience with Amazon Web Services is required. You will start by learning about AWS specific concepts, then jump into deploying WordPress on AWS. From there, Mark will teach you how to create a strong foundation, including configuring IAM for deployment and setting up CloudTrail. This video tutorial also covers deploying a secure networking configuration, deploying a server, and deploying a relational database. Finally, you will learn how to implement a backup strategy, such as verifying RDS backups, creating an S3 backup, and optimizing S3 costs with Amazon Glacier. Once you have completed this computer based training course, you will be fully capable of building your own web applications in AWS. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed September 14, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 94
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    Online Resource
    Amazon web services--simple storage service : step-by-step guide to setting up and using S3 file storage and retrieval (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771373913
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 57 min., 2 sec.)) , digital, sound, color
    Keywords: File organization (Computer science) ; Computer programs ; Cloud computing ; Web applications ; Electronic videos ; local
    Abstract: "In this Amazon Web Services--Simple Storage Service training course, expert author Kim Fowler teaches you how to use S3 from the Amazon Web Services console. This course is designed for users that are familiar with Amazon Web Services. You will start by learning about S3 storage, then jump into learning about moving objects into S3. From there, Kim will teach you how to handle bucket and object permissions, access S3 objects, and charge for access to objects. This video tutorial also covers protecting data in S3, including how to encrypt data, version data, and automatically delete data. Finally, you will learn how to host a website in S3, including how to configure an S3 bucket for hosting and specifying custom error pages. Once you have completed this computer based training course, you will be fully capable of setting up and using S3 to store and retrieve files. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed August 11, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 95
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    Online Resource
    Azure Search for developers : setup, populate, customize, and deploy search instances (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771375184
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 6 min., 38 sec.)) , digital, sound, color
    Keywords: Windows Azure ; Cloud computing ; Web services ; Application software ; Design ; Electronic videos ; local
    Abstract: "In this Azure Search for Developers training course, expert author Alex Mang teaches you how to set up, populate, customize, and deploy Search instances. This course is designed for users that already have a basic understanding of HTTP protocols. You will start by learning how to create an Azure Search service, then jump into learning how to query an index. From there, Alex will teach you how to score profiles and sync data scores. Finally, this video tutorial will teach you advanced scenarios, including how to scale for more QPS and high availability, scale for more documents and higher write throughput, and tighten security via CORS. Once you have completed this computer based training course, you will have learned how to set up, populate, customize, and deploy Search instances. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed November 9, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 96
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    Online Resource
    Moving from jQuery to AngularJS : MVC pattern approaches for web development (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374996
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 43 min., 21 sec.)) , digital, sound, color
    Keywords: AngularJS (Software framework) ; Web site development ; JavaScript (Computer program language) ; Electronic videos ; local
    Abstract: "In this Moving from jQuery to AngularJS training course, expert author Tom Bitterman will teach you how to move from jQuery to AngularJS web development. This course is designed for users that already have experience with JavaScript and jQuery. You will start by learning about building the DOM, then jump into learning about the MVC pattern. From there, Tom will teach you about AngularJS, including controller syntax, controllers and functions, controllers and data, and JSON. Finally, this video tutorial will teach you about MVC with a server. Once you have completed this computer based training course, you will have gained a solid understanding of MVC and AngularJS, and how to incorporate it into your development toolkit. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed December 22, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 97
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    Online Resource
    Introduction to modern client-side programming : an introduction to ES6, web components, TypeScript, ReactJS, Meteor, and Angular 2 (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374842
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 11 min., 7 sec.)) , digital, sound, color
    Keywords: Web site development ; User interfaces (Computer systems) ; Programming ; Computer programming ; JavaScript (Computer program language) ; Electronic videos ; local
    Abstract: "In this Introduction to Modern Client-Side Programming training course, expert author Matt Frisbie will teach you about a number of new web development concepts. This course is designed for the absolute beginner, meaning no previous experience with any of these concepts is required. You will start by learning about ES6, then jump into learning about web components, including HTML imports and templates, shadow DOM, and custom elements. From there, Matt will teach you about TypeScript, ReactJS, and AngularJS 2. Finally, this video tutorial will teach you about Meteor. Once you have completed this computer based training course, you will have gained a solid understanding of these new web development concepts. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed October 12, 2015). - Publication date from resource description page
    URL: lizenzpflichtig
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  • 98
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    Online Resource
    Deploying Docker containers to Amazon Web Services : create and manage single or multi-container applications on the Amazon EC2 Container Service (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374644
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 44 min., 28 sec.)) , digital, sound, color
    Keywords: Amazon.com (Firm) ; Computer network resources ; Cloud computing ; Web services ; Open source software ; Electronic videos ; local
    Abstract: "In this Deploying Docker Containers to Amazon Web Services training course, expert author Ryan Neufeld will teach you how to deploy Docker-centric applications and systems onto Amazon Web Services. This course is designed for users that already have experience with Docker. You will start by learning how to run a simple application on ECS, including how to create an ECS cluster, define a task for an application, and run the application task inside the cluster. From there, Ryan will teach you how to run a multi-container application on ECS, including how to link applications via ECS tasks, inspect logs for a cluster, and collect logs from a cluster. Finally, this video tutorial will teach you about automating clusters and deployment. Once you have completed this computer based training course, you will be fully capable of deploying Docker containers to Amazon Web Services. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed September 17, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 99
    Online Resource
    Online Resource
    Hands-on with Amazon Redshift : large scale data warehouse design in the cloud (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374125
    Language: English
    Pages: 1 online resource (1 streaming video file (4 hr., 32 min., 10 sec.)) , digital, sound, color.
    Keywords: Amazon.com (Firm) ; Data warehousing ; Cloud computing ; Information retrieval ; Data mining ; Electronic videos ; local
    Abstract: "In this Hands-on with Amazon Redshift training course, expert author Rich Morrow will teach you everything you need to know to be able to work with Redshift. This course is designed for the absolute beginner, meaning no previous knowledge of Amazon Redshift is required. You will start with an introduction to the course, learning what a data warehouse is, the benefits of Redshift, and how Redshift compares to other analytics tools. From there, Rich will teach you the basics of Redshift, including data loading, data distribution concepts, and basic Redshift usage. Finally, this video tutorial will cover advanced topics, such as data loading best practices and tuning query performance. Once you have completed this computer based training course, you will have learned everything you need to know to get started with Amazon Redshift."--Resource description page.
    Note: Title from title screen. - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 100
    Online Resource
    Online Resource
    Designing for discovery : faceted navigation (2014)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491915370
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 29 min., 29 sec.)) , digital, sound, color.
    Keywords: Web site development ; Web sites ; Design ; World Wide Web ; User interfaces (Computer systems) ; Internet searching ; Electronic videos ; local
    Abstract: "This hands-on video workshop shows you how to design faceted navigation, a powerful system that enables users to narrow their search results with filters. Host Jim Kalbach, Principal UX Designer with Citrix, also shows you how to design facets directly into your navigation, so that users can browse by facets before they even start to search. Faceted navigation improves the discoverability of your content dramatically throughout the entire user experience--but its design is more intricate than many people assume. You'll learn how to deal with many hidden challenges, such as displaying large amounts of metadata, determining where and how you should display filters, and creating simple interactions that average users will understand. Through exercises, examples (good and bad), and a clear, structured framework for understanding individual components, you'll learn how to include facets in your UI design, whether it's for desktop, mobile, or both."--Resource description page.
    Note: Title from title screen (viewed December 16, 2014)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    MPI Ethno. Forsch.
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