Learning Spark Streaming: Best Practices for Scaling and Optimizing Apache Spark

[Francois Garillot, Gerard Maas] ☆ Learning Spark Streaming: Best Practices for Scaling and Optimizing Apache Spark ï Read Online eBook or Kindle ePUB. Learning Spark Streaming: Best Practices for Scaling and Optimizing Apache Spark Fortunately, the Spark in-memory framework/platform for processing data has added an extension devoted to fault-tolerant stream processing: Spark Streaming.If youre 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 pictureLearn core concepts such as Spark RDDs, Spark Streaming clusters, and the fundamentals of a DStreamDiscover how to create a robust deploymentDive into streaming algo

Learning Spark Streaming: Best Practices for Scaling and Optimizing Apache Spark

Author :
Rating : 4.60 (890 Votes)
Asin : 1491944242
Format Type : paperback
Number of Pages : 300 Pages
Publish Date : 2017-07-18
Language : English

DESCRIPTION:

He's worked on interactive interfaces to the Scala compiler, while nourishing a strong enthusiasm for data analytics in his spare time, until Apache Spark let him fullfill this passion as his main job. He received the first Spark Certification in November 2014, and worked in London and Philadelphia, among other places.In his spare time, he can be found practicing one of a half-dozen ways of making coffee, climbing up or skiing down a not-necessarily-Alpine mountain, or sailing a not-necessarily coastal course.. About the AuthorFrançois Garillot worked on Scala's type system in 2006, earned his PhD from the French École Polytechnique in 2011, and worked at Typesafe, after a brief stint in Internet advertising

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 pictureLearn core concepts such as Spark RDDs, Spark Streaming clusters, and the fundamentals of a DStreamDiscover how to create a robust deploymentDive into streaming algorithmicsLearn how to tune, measure, and monitor Spark Streaming. 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

He's worked on interactive interfaces to the Scala compiler, while nourishing a strong enthusiasm for data analytics in his spare time, until Apache Spark let him fullfill this passion as his main job. He received the first Spark Certification in November 2014, and worked in London and Philadelphia, among other places.In his spare time, he can be found practici

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