Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming

Book Description

Before you can build tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Spark will learn how to put this in-memory to use for streaming data. You’ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs.

Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API.

  • Learn fundamental stream concepts and examine different streaming architectures
  • Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail
  • Create and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIs
  • Learn advanced Spark Streaming techniques, including approximation algorithms and algorithms
  • Compare Apache Spark to other stream processing projects, including Apache , Apache Flink, and Apache Kafka Streams

Book Details

  • Title: Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming
  • Author: ,
  • Length: 452 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2019-06-17
  • ISBN-10: 1491944242
  • ISBN-13: 9781491944240