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.
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