About the book Spark in Action, Second Edition, teaches you to create end-to-end analytics applications.
Spark in Action
Spark 2 also adds improved programming APIs, better performance, and countless other upgrades. About the Book Spark in Action teaches you the theory and skills you need to effectively handle batch and streaming data using Spark.
Spark GraphX in Action
GraphX gives you unprecedented speed and capacity for running massively parallel and machine learning algorithms. About the Book Spark GraphX in Action begins with the big picture of what graphs can be used for.
Spark: The Definitive Guide
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework.
High Performance Spark
With this book, you’ll explore: How Spark SQL’s new interfaces improve performance over SQL’s RDD data structure The choice between data joins in Core Spark and Spark SQL Techniques for getting the most out of standard RDD ...
Learning Spark
Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms.
Learning Spark
This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates. Written by the developers of Spark, this book will have data scientists and engineers up and running in no time.
Mastering Spark with R
This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users.
Data Analysis with Python and PySpark
Packed with relevant examples and essential techniques, this practical book teaches you to build lightning-fast pipelines for reporting, machine learning, and otherdata-centric tasks. No previous knowledge of Spark is required.
Big Data Processing with Apache Spark
This book covers all the libraries in Spark ecosystem: Spark Core, Spark SQL, Spark Streaming, Spark ML, and Spark GraphX.
Frank Kane's Taming Big Data with Apache Spark and Python
About This Book Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with ...
Stream Processing with Apache Spark
With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data.
