| Spark In Action (Manning) |
| Thursday, 23 February 2017 | |||
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This book 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. Petar Zecevic and Marko Bonaci then introduce the most fundamental concepts and abstractions of Spark, particularly Resilient Distributed Datasets (RDDs) and the basic data transformations that RDDs provide. <ASIN:1617292605> 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. Author: Petar Zecevic and Marko Bonaci
Spark is one of the topics covered in Reading Your Way Into Big Data, an article on Programmer's Bookshelf in which Ian Stirk provides a roadmap of the reading required to take you from novice to competent in areas relating to data science.
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