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Building Big Data Pipelines with Apache Beam

person icon Packt Publishing

Building Big Data Pipelines with Apache Beam

Building Big Data Pipelines with Apache Beam

person icon Jan Lukavsk√Ĺ

ebook icon Packt Publishing

language icon Language - English

updated on icon Updated on Jan, 2023

architecture icon Big Data,Apache,Web Services

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This eBook includes

Formats : PDF (Read Only)

Pages : 342

ISBN : 9781800566569

Language : English

About the Book

Book description

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.

Building Big Data Pipelines with Apache Beam

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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