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  • 2015-2019  (13)
  • Safari, an O’Reilly Media Company.  (9)
  • Kane, Frank  (5)
  • Electronic videos  (10)
  • Teams in the workplace
Datasource
Material
Language
Years
Year
  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Ascent Audio | Boston, MA : Safari
    ISBN: 9781469071701
    Language: English
    Pages: 1 online resource (18035 pages)
    Edition: 1st edition
    DDC: 658.4/092
    Keywords: Teams in the workplace ; Audiobooks ; Teams in the workplace ; Downloadable audio books ; Équipes de travail ; Audiobooks ; Livres audio
    Abstract: Communicate, congregate, and collaborate more effectively than ever Smart Teams will help your team to go beyond personal productivity to enhance team productivity. Building on the concepts presented in Smart Work, which focuses on personal productivity, this book shows you how to turn unproductive team behaviors that create friction into "superproductive" behaviors that promote flow. Productivity is, at its core, a leadership issue-and this book provides practical guidelines that help you build a culture where productivity thrives. Working together can be a drag-literally. Email noise, unproductive meetings, and poorly organized projects can stifle creativity and disrupt everyone's workflow. But by creating team agreements that raise awareness of the negative impact of our behaviors, you build the desire and capability to change. This book is packed with tips, guidelines, and expert insights for leaders and managers at any level. People want their work to matter, they want to make an impact, and they want to do it all with a healthy work-life balance-productivity is the key to making it all happen. Smart Teams shows you how to implement the culture shift that will allow your team to flourish.
    Note: Online resource; Title from title page (viewed March 26, 2019) , Mode of access: World Wide Web.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 2 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; Audiobooks
    Abstract: Offers both guidelines and guidance on how to achieve a clear, consistent tone across a larger team. From the Foreword by Ross Tuck Objects are the central concept of languages like Java, Python, C#. Applying best practices for object design means that your code will be easy to read, write, and maintain. Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time. Examples are in an instantly familiar pseudocode, teaching techniques you can apply to any OO language, from C++ to PHP. Object Design Style Guide presents dozens of professional techniques for writing OO code. In it, veteran developer Matthias Noback lays out design rules for constructing objects, defining methods, changing and exposing state, and much more. All examples use instantly familiar pseudocode, so you can follow along in the language you prefer. You’ll go case by case as you explore important scenarios and challenges for object design and then walk through a simple web application that demonstrates how different types of objects can work together effectively. about the technology Well-written OO code is a pleasure to read, modify, and debug. Elevate your coding style by mastering the universal best practices for object design presented in this book. These clearly presented rules, which apply to any OO language, maximize the clarity and durability of your codebase and increase productivity for you and your team. about the book Object Design Style Guide presents dozens of professional techniques for writing OO code. In it, veteran developer Matthias Noback lays out design rules for constructing objects, defining methods, changing and exposing state, and much more. All examples use instantly familiar pseudocode, so you can follow along in the language you prefer. You’ll go case by case as you explore important scenarios and challenges for object design and then walk through a simple web application that demonstrates how different types of objects can work together effectively. what's inside Universal design rules for a wide range of objects Best practices for testing objects A catalog of common object types Exercises for each chapter to test your object design skills about the audience For developers familiar with an object-oriented language and basic application architecture. about the author Matthias Noback is a professional web developer with nearly two decades of experience. He runs his own web deve...
    Note: Online resource; Title from title screen (viewed December 23, 2019) , Mode of access: World Wide Web.
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 55 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Frank Kane, Sundog Education founder, explains the advantages, use cases and methodologies for deploying Recommender Systems. Frank Kane holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. He spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to millions of customers every day.
    Note: Online resource; Title from title screen (viewed September 16, 2019) , Mode of access: World Wide Web.
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838983383
    Language: English
    Pages: 1 online resource (1 video file, approximately 11 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Comprehensive, hands-on AWS Big Data Certification prep, including a practice exam! About This Video Explore Kinesis, EMR, DynamoDB, Redshift, and more Get well-versed with the core concepts necessary to work with AWS big data In Detail The AWS Certified Big Data Specialty exam is one of the most challenging certification exams you can take from Amazon. Achieving this certification validates your knowledge of big data systems. But even experienced technologists need to prepare heavily for this exam. This course sets you up for success by taking you through all the big data technologies covered in the exam and explaining how they fit together. Best-selling instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course yet. Together, they've taught over 300,000 people around the world. This course combines Stéphane's knowledge of AWS with Frank's experience in big data, gleaned during his 9-year career at Amazon. Both Frank and Stéphane have passed the exam themselves on the first try. The world of big data on AWS includes a dizzying array of technologies and services. This course covers the following topics in depth: Streaming massive data with AWS Kinesis Queuing messages with Simple Queue Service (SQS) Wrangling explosion data from the Internet of Things (IoT) Transitioning from small to big data with the AWS Database Migration Service (DMS) Storing massive data lakes with the Simple Storage Service (S3) Optimizing transactional queries with DynamoDB Applying neural networks at massive scale with Deep Learning, MXNet, and TensorFlow Applying advanced machine learning algorithms at scale with Amazon SageMaker Analyzing streaming data in real time with Kinesis Analytics Searching and analyzing petabyte-scale data with Amazon Elasticsearch Service Querying S3 data lakes with Amazon Athena Hosting large-scale data warehouses with Redshift and Redshift Spectrum Integrating smaller data with your big data using the Relational Database Service (RDS) and Aurora Visualizing your data interactively with Quicksight Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more Big data is an advanced certification, and it's best suited for anyone who has already obtained associate-level certification in AWS and has some data analytics experience. Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: http...
    Note: Online resource; Title from title screen (viewed May 31, 2019)
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838985363
    Language: English
    Pages: 1 online resource (1 video file, approximately 29 hr., 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Go from Beginner to Super Advance Level in Machine Learning Algorithms using Python and Mathematical Insights About This Video Learn Machine Learning with real-world case studies Learn complex theory, algorithms and coding libraries in a very simple way In Detail Want to become a good Data Scientist? Then this is a right course for you. This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well. We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advance level. We have solved few Kaggle problems during this course and provided complete solutions so that students can easily compete in real world competition websites.
    Note: Online resource; Title from title screen (viewed July 24, 2019) , Mode of access: World Wide Web.
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781789803273
    Language: English
    Pages: 1 online resource (1 streaming video file (9 hr., 14 min., 40 sec.)) , digital, sound, color
    Keywords: Machine learning ; Artificial intelligence ; Neural networks (Computer science) ; Python (Computer program language) ; Electronic videos ; local ; Electronic videos
    Abstract: "Frank Kane spent over nine years at Amazon, where he managed and led the development of many of Amazon's personalized product recommendation technologies. You've seen automated recommendations everywhere--on Netflix's home page, on YouTube, and on Amazon--as these machine learning algorithms learn about your unique interests, and show the best products or content for you as an individual. These technologies have become central to the largest, most prestigious tech employers out there, and by understanding how they work, you'll become very valuable to them. We cover tried-and-true recommendation algorithms based on neighborhood-based collaborative filtering and work our way up to more modern techniques including matrix factorization and even deep learning with artificial neural networks. Along the way, you'll learn from Kane's extensive industry experience and understand the real-world challenges you'll encounter when applying these algorithms at a large scale and with real-world data. The coding exercises in this course use the Python programming language. We include an intro to Python if you're new to it, but you'll need some prior programming experience in order to use this course successfully. We also include a short introduction to deep learning if you are new to the field of artificial intelligence, but you'll need to be able to understand new computer algorithms."--Resource description page.
    Note: Title from resource description page (Safari, viewed November 5, 2018)
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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Manning Publications | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 18 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: "A comprehensive overview of the challenges teams face when moving to microservices, with industry-tested solutions to these problems." Tim Moore, Lightbend Microservices Patterns teaches enterprise developers and architects how to build applications with the microservice architecture. Rather than simply advocating for the use the microservice architecture, this clearly-written guide takes a balanced, pragmatic approach, exploring both the benefits and drawbacks. Successfully developing microservices-based applications requires mastering a new set of architectural insights and practices. In this unique book, microservice architecture pioneer and Java Champion Chris Richardson collects, catalogues, and explains 44 patterns that solve problems such as service decomposition, transaction management, querying, and inter-service communication. Microservices Patterns teaches you how to develop and deploy production-quality microservices-based applications. This invaluable set of design patterns builds on decades of distributed system experience, adding new patterns for writing services and composing them into systems that scale and perform reliably under real-world conditions. More than just a patterns catalog, this practical guide offers experience-driven advice to help you design, implement, test, and deploy your microservices-based application. Inside: How (and why!) to use the microservice architecture Service decomposition strategies Transaction management and querying patterns Effective testing strategies Deployment patterns This book/course is made for enterprise developers familiar with standard enterprise application architecture. Examples are in Java. Chris Richardson is a Java Champion, a JavaOne rock star, author of Manning’s POJOs in Action , and creator of the original CloudFoundry.com. Pragmatic treatment of an important new architectural landscape. Simeon Leyzerzon, Excelsior Software A solid compendium of information that will quicken your migration to this modern cloud-based architecture. John Guthrie, Dell/EMC How to understand the microservices approach, and how to use it in real life. Potito Coluccelli, Bizmatica Econocom NARRATED BY AIDEN HUMPHREYS AND LOU FERNANDEZ
    Note: Online resource; Title from title screen (viewed October 27, 2018) , Mode of access: World Wide Web.
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Pearson | Boston, MA : Safari
    Language: English , Chinese
    Pages: 1 online resource (1 video file, approximately 2 hr., 30 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: 本课程为数据分析人员、数据科学家提供Python和pandas的实用介绍,这些分析工具可以将你从电子表格程序(如Excel等)带入自动化的数据分析工作流程中。 在这个视频课程中,丹尼尔首先介绍了Python和Pandas,以及它们为什么会成为数据分析方面很好用的工具。首先介绍了安装和启动Python,随后将介绍了使用Python和pandas处理数据集的基本知识,然后是绘图和可视化、数据组装和操作、缺失数据和整理数据。看完这个视频课程后,数据分析人员和数据科学新手们将会真正理解为什么Python和pandas在当今数据科学家中如此受欢迎,并且应该能够开始创建自动化的数据工作流。 ● 安装和启动Python; ● 将数据集加载到Pandas中,并学会评估和分析它们; ● 使用panda数据结构来导入/导出数据; ● 组合多个数据集; ● 处理缺失数据; ● 整理和重塑数据
    Note: Online resource; Title from title screen (viewed February 21, 2017) , Mode of access: World Wide Web.
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  • 9
    Online Resource
    Online Resource
    [Place of publication not identified] : Packt Publishing
    ISBN: 9781788995122
    Language: English
    Pages: 1 online resource (1 streaming video file (7 hr., 58 min., 38 sec.)) , digital, sound, color
    Keywords: Lucene (Electronic resource) ; Web search engines ; Data mining ; Open source software ; Electronic videos ; local ; Electronic videos
    Abstract: "Elasticsearch is a powerful tool not only for powering search on big websites, but also for analyzing big data sets in a matter of milliseconds! It's an increasingly popular technology, and a valuable skill to have in today's job market. We'll cover setting up search indices on an Elasticsearch cluster, and querying that data in many different ways. Fuzzy searches, partial matches, search-as-you-type, pagination, sorting - you name it. And it's not just theory, every lesson has hands-on examples where you'll practice each skill using a virtual machine running Elasticsearch on your own PC. We cover, in depth, the often-overlooked problem of importing data into an Elasticsearch index. Whether it's via raw RESTful queries, scripts using Elasticsearch API's, or integration with other "big data" systems like Spark and Kafka - you'll see many ways to get Elasticsearch started from large, existing data sets at scale. We'll also stream data into Elasticsearch using Logstash and Filebeat - commonly referred to as the "ELK Stack" (Elasticsearch / Logstash / Kibana) or the "Elastic Stack". Elasticsearch isn't just for search anymore - it has powerful aggregation capabilities for structured data. We'll bucket and analyze data using Elasticsearch, and visualize it using the Elastic Stack's web UI, Kibana. Elasticsearch is positioning itself to be a much faster alternative to Hadoop, Spark, and Flink for many common data analysis requirements. It's an important tool to understand, and it's easy to use! Dive in with me and I'll show you what it's all about."--Resource description page.
    Note: Title from resource description page (viewed December 18, 2017)
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  • 10
    Online Resource
    Online Resource
    [Place of publication not identified] : [Packt Publishing]
    ISBN: 9781788478489
    Language: English
    Pages: 1 online resource (1 streaming video file (14 hr., 31 min., 42 sec.)) , digital, sound, color
    Keywords: Apache Hadoop ; Big data ; Electronic videos ; local ; Electronic videos
    Abstract: "The world of Hadoop and 'Big Data' can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this course, you'll not only understand what those systems are and how they fit together - but you'll go hands-on and learn how to use them to solve real business problems! This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It's filled with hands-on activities and exercises, so you get some real experience in using Hadoop - it's not just theory. You'll find a range of activities in this course for people at every level. If you're a project manager who just wants to learn the buzzwords, there are web UI's for many of the activities in the course that require no programming knowledge. If you're comfortable with command lines, we'll show you how to work with them too. And if you're a programmer, I'll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python."--Resource description page.
    Note: Title from title screen (viewed July 18, 2017). - Imprint from resource description page
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  • 11
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Auerbach Publications | Boston, MA : Safari
    ISBN: 9781439855447
    Language: English
    Pages: 1 online resource (225 pages)
    Edition: 1st edition
    Series Statement: ESI international project management series
    Parallel Title: Erscheint auch als
    DDC: 658.4/022
    Keywords: Teams in the workplace ; Project management ; Business planning ; Electronic books ; local ; Équipes de travail ; Gestion de projet ; Business planning ; Project management ; Teams in the workplace
    Abstract: Supplying busy project professionals with time-tested tips and templates for developing teams efficiently and effectively, Team Planning for Project Managers and Business Analysts provides the planning materials required to increase team collaboration and productivity in a global workplace.This comprehensive resource offers insights and access to c
    Note: Online resource; Title from title page (viewed April 19, 2016) , Mode of access: World Wide Web.
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  • 12
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : CRC Press | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (321 pages)
    Edition: 1st edition
    Keywords: Leadership ; Teams in the workplace ; Organizational behavior ; Electronic books ; local
    Abstract: The complexity of governments today makes the accountability desired by citizens difficult to achieve. Written to address performance policies within state and national governments, Government Performance and Results: An Evaluation of GPRA’s First Decade summarizes lessons learned from a 10-year research project that evaluated performance reports produced by federal agencies under the Government Performance and Results Act (GPRA). The results of this project can help answer a wide variety of questions in political economy and public administration, such as: What factors make performance reports relevant and informative? Has the quality of information disclosed to the public improved? Why do some agencies produce better reports than others? Has GPRA led to greater availability and use of performance information by federal managers? Has GPRA led to greater use of performance information in budget decisions? What steps would make federal management and budget decisions more performance oriented? The book documents the current state of the art in federal performance reporting, measures the extent of improvement, compares federal performance reports with those produced by state governments and other nations, and suggests how GPRA has affected management of federal agencies and resource allocation by policymakers. It also identifies obstacles that must be overcome if GPRA is to deliver on the promise of performance budgeting. The authors chronicle the improvements observed in federal performance reporting through the lens of the Mercatus Center’s annual Performance Report Scorecard. As budget shortfalls and new debt burdens increase interest in public management and budgeting techniques that allow governments to do more with less, this is an appropriate time to take stock of what GPRA has accomplished and what remains to be done. By comparing best performance reporting practices in the US federal government with those in states and other countries, this book speeds the diffusion of useful knowledge at a critical time.
    Note: Online resource; Title from title page (viewed April 19, 2016) , Mode of access: World Wide Web.
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  • 13
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781491957912 , 1491957913
    Language: English
    Pages: 1 online resource (1 video file, approximately 19 hr., 22 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: The standard for large-scale data processing, Hadoop makes your data truly accessible. This Learning Path offers an in-depth tour of the Hadoop ecosystem, providing detailed instruction on setting up and running a Hadoop cluster, batch processing data with Pig, Hive's SQL dialect, MapReduce, and everything else you need parse, access, and analyze your data.
    Note: Online resource; Title from title screen (viewed November 17, 2015) , Mode of access: World Wide Web.
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