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Jan Lukavsky Building Big Data Pipelines with Apache Bea (Paperback) (UK IMPORT)
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Jan Lukavsky Building Big Data Pipelines with Apache Bea (Paperback) (UK IMPORT)
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Jan Lukavsky Building Big Data Pipelines with Apache Bea (Paperback) (UK IMPORT)

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    Item specifics

    Condition
    Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
    Book Title
    Building Big Data Pipelines with Apache Beam
    EAN
    9781800564930
    Country/Region of Manufacture
    GB
    ISBN
    9781800564930
    Release Date
    02/18/2022
    Item Height
    93mm
    Item Length
    75mm
    Genre
    Computing & Internet
    Title
    Building Big Data Pipelines with Apache Beam
    Subtitle
    Use a single programming model for both batch and stream data pro
    Release Year
    2022

    About this product

    Product Identifiers

    Publisher
    Packt Publishing, The Limited
    ISBN-10
    1800564937
    ISBN-13
    9781800564930
    eBay Product ID (ePID)
    12057259773

    Product Key Features

    Publication Year
    2022
    Subject
    Data Modeling & Design, Programming / Parallel, General, Data Processing
    Number of Pages
    342 Pages
    Publication Name
    Building Big Data Pipelines with Apache Beam : Use a Single Programming Model for Both Batch and Streaming Use Cases
    Language
    English
    Type
    Textbook
    Author
    Jan Lukavsky
    Subject Area
    Mathematics, Computers
    Format
    Trade Paperback

    Additional Product Features

    Dewey Edition
    23
    Dewey Decimal
    006.312
    Synopsis
    Implement, run, operate, and test data processing pipelines using Apache BeamKey Features* Understand how to improve usability and productivity when implementing Beam pipelines* Learn how to use stateful processing to implement complex use cases using Apache Beam* Implement, test, and run Apache Beam pipelines with the help of expert tips and techniquesBook DescriptionApache Beam is an open source unified programming model for implementing and executing data processing pipelines, including Extract, Transform, and Load (ETL), batch, and stream processing.This book will help you to confidently build data processing pipelines with Apache Beam. You'll start with an overview of Apache Beam and understand how to use it to implement basic pipelines. You'll also learn how to test and run the pipelines efficiently. As you progress, you'll explore how to structure your code for reusability and also use various Domain Specific Languages (DSLs). Later chapters will show you how to use schemas and query your data using (streaming) SQL. Finally, you'll understand advanced Apache Beam concepts, such as implementing your own I/O connectors.By the end of this book, you'll have gained a deep understanding of the Apache Beam model and be able to apply it to solve problems.What you will learn* Understand the core concepts and architecture of Apache Beam* Implement stateless and stateful data processing pipelines* Use state and timers for processing real-time event processing* Structure your code for reusability* Use streaming SQL to process real-time data for increasing productivity and data accessibility* Run a pipeline using a portable runner and implement data processing using the Apache Beam Python SDK* Implement Apache Beam I/O connectors using the Splittable DoFn APIWho this book is forThis book is for data engineers, data scientists, and data analysts who want to learn how Apache Beam works. Intermediate-level knowledge of the Java programming language is assumed., Implement, run, operate, and test data processing pipelines using Apache Beam Key Features: Understand how to improve usability and productivity when implementing Beam pipelines Learn how to use stateful processing to implement complex use cases using Apache Beam Implement, test, and run Apache Beam pipelines with the help of expert tips and techniques Book Description: Apache Beam is an open source unified programming model for implementing and executing data processing pipelines, including Extract, Transform, and Load (ETL), batch, and stream processing. This book will help you to confidently build data processing pipelines with Apache Beam. You'll start with an overview of Apache Beam and understand how to use it to implement basic pipelines. You'll also learn how to test and run the pipelines efficiently. As you progress, you'll explore how to structure your code for reusability and also use various Domain Specific Languages (DSLs). Later chapters will show you how to use schemas and query your data using (streaming) SQL. Finally, you'll understand advanced Apache Beam concepts, such as implementing your own I/O connectors. By the end of this book, you'll have gained a deep understanding of the Apache Beam model and be able to apply it to solve problems. What You Will Learn: Understand the core concepts and architecture of Apache Beam Implement stateless and stateful data processing pipelines Use state and timers for processing real-time event processing Structure your code for reusability Use streaming SQL to process real-time data for increasing productivity and data accessibility Run a pipeline using a portable runner and implement data processing using the Apache Beam Python SDK Implement Apache Beam I/O connectors using the Splittable DoFn API Who this book is for: This book is for data engineers, data scientists, and data analysts who want to learn how Apache Beam works. Intermediate-level knowledge of the Java programming language is assumed.
    LC Classification Number
    QA76.9.D343

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