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 Название: Stream Processing with Apache Spark (Early Release)
Автор: Gerard Maas, Francois Garillot
Издательство: O’Reilly Media, Inc.
ISBN: 1491944242
Год: 2019
Страниц: 156
Язык: английский
Формат: pdf, djvu
Размер: 10.1 MB
To build analytics tools that provide faster insights, knowing how to process data in real time is a must, and moving from batch processing to stream processing is absolutely required. Fortunately, the Spark in-memory framework/platform for processing data has added an extension devoted to fault-tolerant stream processing: Spark Streaming.
If you're familiar with Apache Spark and want to learn how to implement it for streaming jobs, this practical book is a must.
Understand how Spark Streaming fits in the big picture
Learn core concepts such as Spark RDDs, Spark Streaming clusters, and the fundamentals of a DStream
Discover how to create a robust deployment
Dive into streaming algorithmics
Learn how to tune, measure, and monitor Spark Streaming
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Автор: Ingvar16 12-07-2019, 16:25 | Напечатать |
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