By François Garillot and Gerard Maas
As our partnership with O'Reilly grows, Lightbend is happy to present you with an exclusive preview edition of "Learning Spark Streaming", Chapters 1 and 2.
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.
p.s. Want to learn more about managing datasets that never end? Let us know if it's time to set up a 15-20 minute chat with someone at Lightbend :)