Spark in Action
Spark in Action by Mr Petar Zecevic
English | 28 Aug. 2016 | ISBN: 1617292605 | 468 Pages | PDF | 8 MB
English | 28 Aug. 2016 | ISBN: 1617292605 | 468 Pages | PDF | 8 MB
Spark in Action teaches readers to use Spark for stream and batch data
processing. It starts with an introduction to the Spark architecture and
ecosystem followed by a taste of Spark's command line interface. Readers then discover the most fundamental concepts and abstractions
of Spark, particularly Resilient Distributed Datasets (RDDs) and the
basic data transformations that RDDs provide. The first part of the book covers writing Spark applications using the the core APIs.
Readers also learn how to work with structured data using Spark SQL, how to process near-real time data with Spark Streaming, how to apply machine learning algorithms with Spark MLlib, how to apply graph algorithms on graph-shaped data using Spark GraphX, and an introduction to Spark clustering.