Stream Processing with Heron

For data engineers and researchers new to stream processing, this practical book provides a professional reference that focuses on Apache Heron. Authors Huijun Wu and Maosong Fu from Twitter provide the basic knowledge you need to get started with this real-time processing engine. Learn how Heron serves as a general-purpose, modular, and extensible platform that you can use to support common real-time analytics use cases.

Through the course of this book, youll discover approaches for tackling challenges in stream processing systems and applications. Youll also understand how to build streaming applications that can benefit from Herons robustness, high performance, adaptability to cloud environments, and ease of use.

With this book, youll examine:



A complete study path that shows you how to develop stream processing systems
Herons data model, system, topology submission process, architecture, and components
How to compile the Heron source code
Methods for migrating Apache Storms topology to Heron
Heron components, including state manager, scheduler, topology master, stream manager, instance, metrics manager, and metrics cache
Heron tools, including tracker, UI, and explorer
New features, such as health manager, Python topology, delivery semantics, and API server