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Stream Processing with Apache Spark: Best Practices for Scaling and Optimizing Apache Spark


Huge Savings Item! Free Shipping Included! Save 15% on the Stream Processing with Apache Spark: Best Practices for Scaling and Optimizing Apache Spark by O'Reilly Media at Spring Brook Audio. Hurry! Limited time offer. Offer valid only while supplies last. 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


Product Description

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

Additional Information

Manufacturer:O'Reilly Media
Publisher:O'Reilly Media
Studio:O'Reilly Media
EAN:9781491944240
Item Weight:0 pounds
Item Size:0 x 9.19 x 9.19 inches
Package Weight:1.47 pounds
Package Size:7 x 0 x 0 inches

Stream Processing with Apache Spark: Best Practices for Scaling and Optimizing Apache Spark by O'Reilly Media

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Stream Processing with Apache Spark: Best Practices for Scaling and Optimizing Apache Spark

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