Spark in Action, Second Edition

The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition, youll learn to take advantage of Sparks core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning.

Unlike many Spark books written for data scientists, Spark in Action, Second Edition is designed for data engineers and software engineers who want to master data processing using Spark without having to learn a complex new ecosystem of languages and tools. Youll instead learn to apply your existing Java and SQL skills to take on practical, real-world challenges.

Key Features

  Lots of examples based in the Spark Java APIs using real-life dataset and scenarios

  Examples based on Spark v2.3 Ingestion through files, databases, and streaming

  Building custom ingestion process

  Querying distributed datasets with Spark SQL

For beginning to intermediate developers and data engineers comfortable programming in Java. No experience with functional programming, Scala, Spark, Hadoop, or big data is required.

About the technology

Spark is a powerful general-purpose analytics engine that can handle massive amounts of data distributed across clusters with thousands of servers. Optimized to run in memory, this impressive framework can process data up to 100x faster than most Hadoop-based systems.

Author Bio