Book Image

Learning Apache Apex

By : Thomas Weise, Ananth Gundabattula, Munagala V. Ramanath, David Yan, Kenneth Knowles
Book Image

Learning Apache Apex

By: Thomas Weise, Ananth Gundabattula, 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 (17 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Low-latency versus throughput


As mentioned in Chapter 1, Introduction to Apex, Apex is capable of very low-latency processing while also delivering high throughput and fault-tolerance. Processing latency evaluation ultimately depends on the specific use case and end-to-end pipeline functionality. It is nevertheless important to know the platform limits and what is theoretically possible. Resource consumption translates to cost. It is essential that a platform can scale to meet current and future needs at reasonable cost. Complex streaming analytics applications can run on hundreds of processes and consume TBs of memory. At such a scale, it is essential to understand how future growth of business and data volume will translate into cost for the solution.

The Apex user does not have to trade latency for throughput as would be the case in batch systems or a micro-batch architecture. Performance benchmark results and production deployments have shown that Apex can process millions of events per...