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Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming
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.
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.
Product details
Publisher : O'Reilly Media; 1st edition (July 16 2019)
Language : English
Paperback : 450 pages
ISBN-10 : 1491944242
ISBN-13 : 978-1491944240
Item weight : 712 g
Dimensions : 17.78 x 2.31 x 23.34 cm
Best Sellers Rank: #1,347,705 in Books (See Top 100 in Books)
#122 in Parallel Computer Programming
#293 in Distributed Databases
#348 in Parallel Processing Computers (Books)
Customer Reviews: 4.4
29 ratings
Publisher : O'Reilly Media; 1st edition (July 16 2019)
Language : English
Paperback : 450 pages
ISBN-10 : 1491944242
ISBN-13 : 978-1491944240
Item weight : 712 g
Dimensions : 17.78 x 2.31 x 23.34 cm
Best Sellers Rank: #1,347,705 in Books (See Top 100 in Books)
#122 in Parallel Computer Programming
#293 in Distributed Databases
#348 in Parallel Processing Computers (Books)
Customer Reviews: 4.4
29 ratings
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