Book Image

Fast Data Processing with Spark - Second Edition

By : Krishna Sankar, Holden Karau
Book Image

Fast Data Processing with Spark - Second Edition

By: Krishna Sankar, Holden Karau

Overview of this book

<p>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.</p> <p>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.</p>
Table of Contents (18 chapters)
Fast Data Processing with Spark Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Credits

Authors

Krishna Sankar

Holden Karau

Reviewers

Robin East

Toni Verbeiren

Lijie Xu

Commissioning Editor

Akram Hussain

Acquisition Editors

Shaon Basu

Kunal Parikh

Content Development Editor

Arvind Koul

Technical Editors

Madhunikita Sunil Chindarkar

Taabish Khan

Copy Editor

Hiral Bhat

Project Coordinator

Neha Bhatnagar

Proofreaders

Maria Gould

Ameesha Green

Joanna McMahon

Indexer

Tejal Soni

Production Coordinator

Nilesh R. Mohite

Cover Work

Nilesh R. Mohite