Stream Processing with Apache Spark
Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. You'll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs.Authors Gerard Maas and Fran ois Garillot help you… Celý popis ↓
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Stream Processing with Apache Spark
Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. You'll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs.Authors Gerard Maas and Fran ois Garillot help you explore the theoretical underpinnings of Apache Spark. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data.
- Learn fundamental stream processing concepts and examine different streaming architecturesExplore Structured Streaming through practical examples; learn different aspects of stream processing in 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.
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