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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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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

Task 20 – Implementing SportTrackerMotivation in the Python SDK

The last task we will implement in this chapter is a well-known task that we have used multiple times in Chapter 4, Structuring Code for Reusability – for example, in Task 11. First, let's restate the problem definition.

Problem definition

Calculate two per-user running averages over the stream of artificial GPS coordinates that were generated for Task 5. One computation will be the average pace over a longer (5-minute) interval, while the other will be over a shorter (1-minute) interval. Every minute, for each user, output information will be provided about whether the user's current 1-minute pace is over or under the longer average if the short average differs by more than 10%.

We implemented this task in several versions while using a playground to demonstrate various aspects of the Java SDK. In this case, we will implement only one version and use the CoGroupByKey transform to join...

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