Stream Processing With Apache Spark : Mastering Structured Streaming and Spark Streaming
Maas, Gerard; Garillot, Francois
Language: English
Published by O'Reilly Media, 2019
- Softcover
- New
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- Title
- Stream Processing With Apache Spark : Mastering Structured Streaming and Spark Streaming
- Author
- Maas, Gerard; Garillot, Francois
- Publisher
- O'Reilly Media
- Publication year
- 2019
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1491944242
- ISBN 13
- 9781491944240
Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework 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 processing 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 machine learning algorithms
- Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams
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About the Author
Gerard has held leading roles at several startups and large enterprises, building data science governance, cloud-native IoT platforms, telecom platforms, and scalable APIs. He is a regular speaker at technology conferences and contributes to small and large open source projects. Gerard has a degree in Computer Engineering from the Simón Bolívar University, Venezuela. You can find him on twitter as @maasg.
François Garillot is based in Seattle, where he works on distributed computing at Facebook. He received a Ph.D. from École Polytechnique in 2011, and worked on Spark Streaming's back-pressure while working at Lightbend in 2015. His interests include type systems, leveraging programming languages to make analytics simpler to express, and a passion for Scala, Spark, and roasted arabica. When not at work, he can be found enjoying the mountains of the Pacific Northwest.
"About the title" may belong to another edition of this title.
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