Stream Processing with Apache Spark: Mastering Structured Streaming and Spark Streaming
Gerard Maas, Francois Garillot$59.49
$69.99
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
Binding Type: Paperback
Publisher: O'Reilly Media
Published: 06/25/2019
ISBN: 9781491944240
Pages: 452
Weight: 1.57lbs
Size: 9.19h x 7.00w x 0.91d