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  • 1
    Online Resource
    Online Resource
    Kafka Streams with Spring Cloud Stream (2021)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781801811422
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Master real-time stream processing microservices with Kafka Streams and Spring cloud streams. About This Video Explore Kafka Streams with JSON, AVRO, and other custom serialization Learn Kafka architecture and programming with Kafka Streams API Understand how to build applications using Spring Boot with streaming data In Detail Kafka Streams with Spring Cloud Streams will help you understand stream processing in general and apply it to Kafka Streams Programming using Spring Boot. This course uses the Kafka Streams library compatible with Spring Cloud 2020. All the source code and examples used in this course have been tested by the author on Confluent Platform 6.0.0, which is compatible with Apache Kafka 2.6 open-source distribution. This is a fully example-driven course, and you will be working with multiple examples during the entire session. We will be making extensive use of IntelliJ IDEA as the preferred development IDE and Apache Maven and Gradle as the preferred build tool. However, based on your prior experience, you should be able to work with any other IDE designed for Spring application development and any other build tool designed for Java applications. This course also makes use of Log4J2 to teach you industry-standard log implementation in your application. We will be using JUnit5, which is the latest version of JUnit, to implement unit test cases. Working examples and exercises are the most critical tool to sharpen your skills. This course consists of some programming assignments as and when appropriate. These exercises will help you validate and check your concepts and apply your learning to solve programming problems.
    Note: Online resource; Title from title screen (viewed July 26, 2021) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 2
    Online Resource
    Online Resource
    AWS Certified Cloud Practitioner CLF-C01 : Exam and Beyond (2022)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781803235011
    Language: English
    Pages: 1 online resource (1 video file, approximately 13 hr., 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: This course covers everything you should learn to clear the AWS Cloud Practitioner Certification Exam CLF-C01. About This Video Learn AWS Cloud fundamentals with hands-on working knowledge AWS Cloud architecture, services, and concepts beyond the exam Explore Amazon S3 and other storage services In Detail This course is structured into 14 sections. The first section gives you some preliminary information about the course and what you should do before you start the course. The second section of this course is to help you get started with cloud computing and the AWS Cloud platform. It will make you familiar with some cloud computing concepts, terminologies, and AWS Cloud platform. The third section onwards is designed to cover specific areas of AWS cloud computing. For example, section three starts with networking basics and takes you deep into AWS networking. The fourth is dedicated to identity and access management in AWS. Similarly, section five takes you deep into the Amazon EC2, and so on. Each section is dedicated to a specific area, so you don't lose focus and relation amongst the services. It explains various topics such as database and analytics services, containers and serverless, developer tools and DevOps services, account management and billing, and so on. The last section presents you with some tips and guidance on preparing for the exam and how to attempt exam questions. By the end of the course, you will be confident enough to crack the AWS Certified Cloud Practitioner Exam. Who this book is for This course is for software engineering professionals willing to pass the AWS Certified Cloud Practitioner Certification. It is also for IT professionals willing to learn and master AWS Cloud core concepts and working knowledge.
    Note: Online resource; Title from title screen (viewed January 31, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 3
    Online Resource
    Online Resource
    Apache Spark 3 advance skills for cracking job interviews (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 650.14/4
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Employment interviewing ; Computer programming Vocational guidance ; Machine learning ; Entretiens d'embauche ; Programmation (Informatique) ; Orientation professionnelle ; Apprentissage automatique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: An advanced Apache Spark course to help you prepare and crack Spark job interviews. About This Video Practice common job interview questions and answers Deep dive into Spark 3 architecture and memory management Prepare for Databricks Spark certification in a structured way In Detail Apache Spark is a lightning-fast unified analytics engine for big data and machine learning. Since its release, Apache Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Netflix, Yahoo, and eBay have deployed Spark at a massive scale. It has quickly become the largest open-source community in big data. So, mastering Apache Spark opens a wide range of professional opportunities. This course covers some advanced topics and concepts such as Spark 3 architecture and memory management, AQE, DPP, broadcast, accumulators, and multithreading in Spark 3 along with common job interview questions and answers. The objective of this course is to prepare you for advanced certification topics. By the end of this course, you will have learned some advanced topics and concepts that are asked for in the Databricks Spark Certification or Spark job interviews. This will not only help you develop advanced skills in Apache Spark but also crack your job interviews. Audience This course is for anyone who wants to learn and develop advanced skills in Apache Spark or those who are preparing for job interviews and want to learn advanced skills. Before proceeding with the course, you will need basic knowledge of Spark programming in Python - PySpark.
    Note: "Updated in February 2022.". - Online resource; title from title details screen (O'Reilly, viewed March 10, 2022)
    URL: lizenzpflichtig
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  • 4
    Online Resource
    Online Resource
    Spark programming in Python for beginners with Apache Spark 3 (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 37 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Computer programming ; Python (Computer program language) ; Programmation (Informatique) ; Python (Langage de programmation) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Build data engineering solutions with Spark programming in Python About This Video Build your own data engineering solutions using Spark structured API in Python Gain an in-depth understanding of the Apache Hadoop architecture, ecosystem, and practices Learn to apply Spark programming basics In Detail If you are looking to expand your knowledge in data engineering or want to level up your portfolio by adding Spark programming to your skillset, then you are in the right place. This course will help you understand Spark programming and apply that knowledge to build data engineering solutions. This course is example-driven and follows a working session-like approach. We will be taking a live coding approach and explaining all the concepts needed along the way. In this course, we will start with a quick introduction to Apache Spark, then set up our environment by installing and using Apache Spark. Next, we will learn about Spark execution model and architecture, and about Spark programming model and developer experience. Next, we will cover Spark structured API foundation and then move towards Spark data sources and sinks. Then we will cover Spark Dataframe and dataset transformations. We will also cover aggregations in Apache Spark and finally, we will cover Spark Dataframe joins. By the end of this course, you will be able to build data engineering solutions using Spark structured API in Python. Audience This course is designed for software engineers willing to develop a data engineering pipeline and application using Apache Spark; for data architects and data engineers who are responsible for designing and building the organization's data-centric infrastructure, for managers and architects who do not directly work with Spark implementation but work with the people who implement Apache Spark at the ground level. This course does not require any prior knowledge of Apache Spark or Hadoop; only programming knowledge using Python programming language is required.
    Note: "Updated in February 2022. - "ScholarNest.". - Online resource; title from title details screen (O'Reilly, viewed March 10, 2022)
    URL: lizenzpflichtig
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  • 5
    Online Resource
    Online Resource
    Real-time stream processing using Apache Spark 3 for scala developers (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 16 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.133
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Scala (Computer program language) ; Electronic data processing ; Machine learning ; Scala (Langage de programmation) ; Apprentissage automatique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: A comprehensive course for Scala developers to create real-time stream processing applications with Apache Spark. About This Video Deep dive into Spark structured streaming APIs and architecture Discover streaming joins and aggregation Explore real-time stream processing concepts In Detail Since its inception, Apache Spark has seen rapid adoption by enterprises across a wide range of industries. So, mastering Apache Spark opens a wide range of professional opportunities. If you are a software engineer or architect and want to design or build your own projects, then this is the right course for you. This is a hands-on, example-driven, advanced course with demonstrations and coding sessions. This course will help you understand real-time stream processing using Apache Spark and later, you will be able to apply that knowledge to build real-time stream processing solutions. This course covers everything from scratch, which involves installing Apache Spark and seeing how to set up and run Apache Kafka. Furthermore, it introduces stream processing and how to work with files and directories. You will also explore Kafka serialization and deserialization for Spark and how to work with Kafka AVRO Source. And finally, the course wraps up with streaming Watermark and outer joints. By the end of this course, you will be able to design and develop big data engineering projects. You will be able to create real-time stream processing applications with Apache Spark. This course will also help you further your growth in real-time stream processing. Audience This course is designed for software engineers and architects who aspire to develop big data engineering projects using Apache Spark. Also, if you are a programmer and developer who wants to grow and learn data engineering using Apache Spark, then this course is for you. Another group of people that can opt for this course are the managers and architects who might not directly work with Spark implementation but still work with the people who implement Apache Spark at the ground level.
    Note: "Updated in February 2022.". - "ScholarNest.". - Online resource; title from title details screen (O'Reilly, viewed March 10, 2022)
    URL: lizenzpflichtig
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  • 6
    Online Resource
    Online Resource
    Python Foundation - Quick Jump Start for Programmers (2022)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781803232379
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 17 min.)
    Edition: 1st edition
    Keywords: Electronic videos
    Abstract: Expand your coding skills and become a fluent and independent Python programmer About This Video Learn Python 3 programming language basics and fundamentals Learn and improve programming skills with more than 100 coding exercises Work on a micro-project challenge to solve a more significant problem In Detail Python is an excellent language to start programming with; it is powerful and easy to get started with. You can see results and run the code right away and most computers require truly little setup to start coding. This course is divided into four parts. You will first learn the basics and fundamentals of Python programming then improve with the help of practice exercises, work with the coding challenge, and finally implement all your learning to solve a project challenge. In the first part, with the help of video lectures and working examples, you will learn the language and its features that will help you build a solid foundation. In the second part, we will start practicing what we learned by doing simple practice exercises. These exercises will be super simple, and they will help you perfect and play with what you learned in the given section. The third part is to solve some complex coding challenges. These challenges will present you with a random problem combining everything that you learned in the previous sections. The fourth and final step is to apply everything you have learned and solve a business problem with the help of a micro-project. By the end of this course, you will be ready to work on real-world Python projects. Who this book is for This course is designed for beginners and experienced programmers new to Python programming who want to learn or improve their Python programming skills. Basic programming understanding is required.
    Note: Online resource; Title from title screen (viewed January 19, 2022) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 7
    Online Resource
    Online Resource
    Apache Kafka - Real-time Stream Processing (Master Class) (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800209343
    Language: English
    Pages: 1 online resource (1 video file, approximately 10 hr., 53 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: A beginner's guide to mastering real-time stream processing using Apache Kafka and Kafka Streams API About This Video Design, develop, and test real-time stream processing applications using Kafka Streams Explore the Kafka Streams architecture, Streams DSL, and exactly-once processing in Apache Kafka Autogenerate Java Objects from JSON and AVRO Schema definition In Detail If you want to understand the concept of stream processing, this course is for you. Using Kafka, the course will help you get to grips with real-time stream processing and enable you to apply that knowledge to learn Kafka programming techniques. This course uses the Kafka Streams library available in Apache Kafka 2.x. All the source code and examples on Apache Kafka 2.3 open-source distribution have been tested. You'll understand and explore Confluent Platform functionalities such as Schema Registry and Avro Serdes using the Confluent Community Version. This course makes extensive use of IntelliJ IDEA and Apache Maven as the preferred development IDE. You'll leverage Log4J2 and JUnit5 for industry-standard log implementation in your application and implementing unit test cases, respectively.
    Note: Online resource; Title from title screen (viewed April 30, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 8
    Online Resource
    Online Resource
    Apache Kafka for Absolute Beginners (2020)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781800202054
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 6 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local ; Electronic videos
    Abstract: Explore the Apache Kafka ecosystem and architecture, and learn client API programming in Java About This Video Get to grips with the Apache Kafka ecosystem and components Delve into Kafka Producer API programming in Java In Detail This course is designed to get you up and running with the fundamentals and the working of Apache Kafka with the help of practical examples. You will also delve into client API programming in Java. As you progress, you will not only cover the Apache Kafka stack, but also the architecture of Kafka components and Kafka client APIs (Producers and Consumers). The course will even guide you on how to apply the knowledge you've gained through the course to create efficient Kafka programs in Java. This course is based on Apache Kafka 2.x. All the source code and examples used in this course on Apache Kafka 2.3 open-source distribution have been tested. Several examples in this course also make use of the Confluent Community Version of Kafka. The course will focus on the Confluent Community Version to explain and demonstrate functionalities that are only available in the Confluent Platform, such as Schema Registry and Avro Serdes. This course will be making extensive use of IntelliJ IDEA as the preferred development IDE. However, based on your prior experience, you should be able to work with any other IDE designed for Java application development. Although the course will be using Apache Maven as the preferred build tool, based on your prior experience, you should be able to use any other build tool designed for Java applications. In addition to this, the course will use Log4j2 to teach you industry-standard log implementation in your applications. This course is fully example-driven and several examples will be created in the class. By the end of this course, you will have gained the skills you need to confidently build Kafka programs in Java.
    Note: Online resource; Title from title screen (viewed April 29, 2020) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
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  • 9
    Online Resource
    Online Resource
    IBM Power systems high availability and disaster recovery updates : planning for a multicloud environment (2022)
    [Place of publication not identified] : IBM Redbooks
    Details
    ISBN: 9780738460543 , 0738460540
    Language: English
    Pages: 1 online resource (230 pages) , color illustrations
    Edition: First edition.
    DDC: 004.67/82
    Keywords: IBM Power systems ; Cloud computing ; Information technology Security measures ; Business enterprises Data processing ; Database management ; Data recovery (Computer science) ; Electronic books
    Abstract: This IBM℗ʼ Redpaper publication delivers an updated guide for high availability and disaster recovery (HADR) planning in a multicloud environment for IBM Power. This publication describes the ideas from studies that were performed in a virtual collaborative team of IBM Business Partners, technical focal points, and product managers who used hands-on experience to implement case studies to show HADR management aspects to develop this technical update guide for a hybrid multicloud environment. The goal of this book is to deliver a HADR guide for backup and data management on-premises and in a multicloud environment. This document updates HADR on-premises and in the cloud with IBM PowerHA℗ʼ SystemMirror℗ʼ, IBM VM Recovery Manager (VMRM), and other solutions that are available on IBM Power for IBM AIX℗ʼ, IBM i, and Linux. This publication highlights the available offerings at the time of writing for each operating system (OS) that is supported in IBM Power, including best practices. This book addresses topics for IT architects, IT specialists, sellers, and anyone looking to implement and manage HADR on-premises and in the cloud. Moreover, this publication provides documentation to transfer how-to skills to the technical teams and solution guidance to the sales team. This book complements the documentation that is available at IBM Documentation and aligns with the educational materials that are provided by IBM Systems Technical Training.
    Note: Includes bibliographical references
    URL: lizenzpflichtig
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  • 10
    Online Resource
    Online Resource
    Spark programming in Scala for beginners with Apache Spark 3 (2022)
    [Place of publication not identified] : Packt Publishing
    Details
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 49 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/12
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Scala (Computer program language) ; Data mining ; Data Mining ; Spark (Electronic resource : Apache Software Foundation) ; Scala (Langage de programmation) ; Exploration de données (Informatique) ; Data mining ; Scala (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: A carefully designed and error-free tested course on Spark programming in Scala for beginners using Apache Spark 3. Reinforce your journey with hands-on and practical content throughout. About This Video A comprehensive course designed for the beginner-level for Spark programming in Scala Deep dive into Spark 3 architecture and data engineering Complete tested source code and examples used on Apache Spark 3.0.0 open-source distribution from the author's end In Detail Apache Spark is a lightning-fast unified analytics engine for big data and machine learning. Since its release, Apache Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Netflix, Yahoo, and eBay have deployed Spark at a massive scale. It has quickly become the largest open-source community in big data. So, mastering Apache Spark opens a wide range of professional opportunities. This course starts with an introduction to Apache Spark where you see what Apache Spark is in brief. Then, you will be installing and using Apache Spark. After that, you will look at the Spark execution model and architecture in detail. Next, you will learn the Spark programming model and developer experience. Following that, you will look at the Spark Structured API foundation, and Spark data sources and sinks. Then, you will explore Spark Data frame and dataset transformations along with aggregations in Apache Spark. Finally, you will look at the Spark Data frame joins in detail. By the end of this course, you will understand Spark programming and apply that knowledge to build data engineering solutions. Audience This course is designed for software engineers willing to develop a data engineering pipeline and application using Apache Spark. It is also for data architects and data engineers who are responsible for designing and building the organization's data-centric infrastructure. It will also be beneficial for the managers and architects who do not directly work with Spark implementation, and still, they work with the people who implement Apache Spark at the ground level. Before proceeding with the course, you will need basic knowledge of the Scala programming language.
    Note: Prashant Kumar Pandey, presenter. - Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
    URL: lizenzpflichtig
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