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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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The Future of Stream Processing

This closing chapter will take a look at the road ahead for stream processing in general. The space has seen a lot of innovation over the past few years. Apache Apex, natively built for streaming, has contributed unique features such as distributed checkpointing, dynamic scaling with on-demand resource allocation, and runtime modifications to pipelines. At the same time, the stream processing technology is rapidly evolving, and organizations are still just getting started with applying the technology to use cases. There is significant opportunity to make adoption and infrastructure integration easier.

The order of topics here will go from being more developer focused to operational. We will cover the following topics:

  • How a wider audience can access stream processing
  • The role of SQL and programming language APIs
  • Machine learning integration
  • State...

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