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Learning Apache Apex

Learning Apache Apex

By : Gundabattula, Thomas Weise, Munagala V. Ramanath, David Yan, Kenneth Knowles
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Learning Apache Apex

Learning Apache Apex

5 (1)
By: Gundabattula, Thomas Weise, Munagala V. Ramanath, David Yan, Kenneth Knowles

Overview of this book

Apache Apex is a next-generation stream processing framework designed to operate on data at large scale, with minimum latency, maximum reliability, and strict correctness guarantees. Half of the book consists of Apex applications, showing you key aspects of data processing pipelines such as connectors for sources and sinks, and common data transformations. The other half of the book is evenly split into explaining the Apex framework, and tuning, testing, and scaling Apex applications. Much of our economic world depends on growing streams of data, such as social media feeds, financial records, data from mobile devices, sensors and machines (the Internet of Things - IoT). The projects in the book show how to process such streams to gain valuable, timely, and actionable insights. Traditional use cases, such as ETL, that currently consume a significant chunk of data engineering resources are also covered. The final chapter shows you future possibilities emerging in the streaming space, and how Apache Apex can contribute to it.
Table of Contents (11 chapters)
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Summary


This chapter has been a whirlwind tour regarding the core concepts of Apache Beam and how to run a basic WordCount pipeline using Apache Apex as a backend. Specifically, we looked at the following topics:

  • The technical vision of Beam—any language on any data processing engine
  • The main parallel processing patterns of Beam—ParDo and GroupByKey
  • The features of the Beam model that support unbounded data—windowing, watermarks, and triggers
  • A basic Beam pipeline to count occurrences of words
  • Launching a Beam pipeline using Apache Apex on a YARN cluster

For more details on both Beam and the Apex runner for Beam, visit the Beam website at https://beam.apache.org. Also, follow @ApacheBeam on Twitter and join our user mailing list at [email protected] by following the instructions at https://beam.apache.org/get-started/support/.

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