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Spark Cookbook

You're reading from   Spark Cookbook With over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries this is the perfect Spark book to always have by your side

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Product type Paperback
Published in Jul 2015
Publisher
ISBN-13 9781783987061
Length 226 pages
Edition 1st Edition
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Author (1):
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Rishi Yadav Rishi Yadav
Author Profile Icon Rishi Yadav
Rishi Yadav
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Apache Spark 2. Developing Applications with Spark FREE CHAPTER 3. External Data Sources 4. Spark SQL 5. Spark Streaming 6. Getting Started with Machine Learning Using MLlib 7. Supervised Learning with MLlib – Regression 8. Supervised Learning with MLlib – Classification 9. Unsupervised Learning with MLlib 10. Recommender Systems 11. Graph Processing Using GraphX 12. Optimizations and Performance Tuning Index

Preface

The success of Hadoop as a big data platform raised user expectations, both in terms of solving different analytics challenges as well as reducing latency. Various tools evolved over time, but when Apache Spark came, it provided one single runtime to address all these challenges. It eliminated the need to combine multiple tools with their own challenges and learning curves. By using memory for persistent storage besides compute, Apache Spark eliminates the need to store intermedia data in disk and increases processing speed up to 100 times. It also provides a single runtime, which addresses various analytics needs such as machine-learning and real-time streaming using various libraries.

This book covers the installation and configuration of Apache Spark and building solutions using Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries.

Note

For more information on this book's recipes, please visit infoobjects.com/spark-cookbook.

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