The following subsections we will cover important external system integrations for Apex applications and the corresponding connectors provided by the Apex library. The section will start with the streaming data connectors, used for continuous processing and low latency use cases. Next, we will look at the file connectors, which are frequently used, especially for batch use cases, where massive amounts of data need to be processed and the ability to read or write with high throughput in a scalable manner is important. Finally, we will look at a few database connectors.
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Learning Apache Apex
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Learning Apache Apex
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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)
Preface
Free Chapter
Introduction to Apex
Getting Started with Application Development
The Apex Library
Scalability, Low Latency, and Performance
Fault Tolerance and Reliability
Example Project – Real-Time Aggregation and Visualization
Example Project – Real-Time Ride Service Data Processing
Example Project – ETL Using SQL
Introduction to Apache Beam
The Future of Stream Processing
Customer Reviews
