Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work wi...

Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.

Along the way, you'll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you'll learn the fundamentals of Spark ML for machine learning and much more.

After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications.

What You Will Learn

Understand Spark unified data processing platform

How to run Spark in Spark Shell or Databricks

Use and manipulate RDDs

Deal with structured data using Spark SQL through its operations and advanced functions

Build real-time applications using Spark Structured Streaming

Develop intelligent applications with the Spark Machine Learning library

Who This Book Is For

Programmers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform.