Learning Spark: Analytics With Spark Framework

This book is an exploration of the Spark framework. The book begins by explaining what Spark is, including the people behind its development, as well as when it was developed. You will also learn where the framework is used. The Spark shell is very important when it comes to performing some computations with the framework. This has been explored in detail, and you will be taught how to use it for the purpose of performing an interactive analysis. Batch processing, which is very essential has also been discussed, with no detail being left out. The book will also guide you on how to use Spark on EC2. Most of the computations which can be performed under this scenario have been explored, and you will learn how to perform them. The GCE for Google and Spark have also been explored in detail. You will learn how to set up this and then perform the necessary computations. The stand-alone cluster for Spark is discussed in detail. The process of streaming in Spark is also been explained. You will be in a position to use Spark for creating streaming programs in the various programming languages.
Here is a preview of what you'll learn: DefinitionSpark Shell for Interactive AnalysisBatch Processing in SparkSpark on EC2Spark on GCESpark and Stand-Alone ClustersStreaming in Spark