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Building Big Data Pipelines with Apache Beam

You're reading from   Building Big Data Pipelines with Apache Beam Use a single programming model for both batch and stream data processing

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781800564930
Length 342 pages
Edition 1st Edition
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Concepts
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Author (1):
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Jan Lukavský Jan Lukavský
Author Profile Icon Jan Lukavský
Jan Lukavský
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Table of Contents (13) Chapters Close

Preface 1. Section 1 Apache Beam: Essentials
2. Chapter 1: Introduction to Data Processing with Apache Beam FREE CHAPTER 3. Chapter 2: Implementing, Testing, and Deploying Basic Pipelines 4. Chapter 3: Implementing Pipelines Using Stateful Processing 5. Section 2 Apache Beam: Toward Improving Usability
6. Chapter 4: Structuring Code for Reusability 7. Chapter 5: Using SQL for Pipeline Implementation 8. Chapter 6: Using Your Preferred Language with Portability 9. Section 3 Apache Beam: Advanced Concepts
10. Chapter 7: Extending Apache Beam's I/O Connectors 11. Chapter 8: Understanding How Runners Execute Pipelines 12. Other Books You May Enjoy

Section 1 Apache Beam: Essentials

This section represents a general introduction to how most streaming data processing systems work, what the general properties of data streams are, and what problems are needed to be solved for computational correctness and for balancing throughput and latency in the context of Apache Beam. This section also covers how pipelines are implemented, tested, and run.

This section comprises the following chapters:

  • Chapter 1, Introduction to Data Processing with Apache Beam
  • Chapter 2, Implementing, Testing, and Deploying Basic Pipelines
  • Chapter 3, Implementing Pipelines Using Stateful Processing
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