Fast Data Processing with Spark 2nd Edition: Perform real-time analytics using Spark in a fast distributed and scalable way

Fast Data Processing with Spark, 2nd Edition: Perform real-time analytics using Spark in a fast, distributed, and scalable way Krishna Sankar, Holden Karau
Spark is a framework used for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does, but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and built-in tools for interactive query analysis (Spark SQL), large-scale graph processing and analysis (GraphX), and real-time analysis (Spark Streaming), it can be interactively used to quickly process and query big datasets. Fast Data Processing with Spark – Second Edition covers how to write distributed programs with Spark. The book will guide you through every step required to write effective distributed programs from setting up your cluster and interactively exploring the API to developing analytics applications and tuning them for your purposes. Categories:
Computers – Algorithms and Data Structures
Computers – Databases
Year:
2015
Publisher:
Packt Publishing
Language:
english
Pages:
184
ISBN 10:
178439257X
ISBN 13:
9781784392574
File:
117 MB