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Spark in Action: analyzing big data with the Java API

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Spark with Java teaches you how to manage distributed data using Spark's Java APIs. Taking a practical, hands-on approach, this book starts by building a basic Spark data analytics pipeline. Java engineers can use Spark's powerful and flexible Java APIs to stream, consolidate, filter, and transform distributed data without learning a new programming language.

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Spark in Action: analyzing big data with the Java API

  1. 1. Using Apache Spark with Java With Spark in Action—get it for 42% off with code slperrin at manning.com.
  2. 2. Use Spark with your Java skills Spark in Action teaches you how to manage distributed data using Spark's Java APIs. Taking a practical, hands-on approach, this book starts by building a basic Spark data analytics pipeline.
  3. 3. Leverage Spark’s Java API Java engineers can learn to use Spark's powerful and flexible Java APIs to stream, consolidate, filter, and transform distributed data without learning a new programming language. You don’t even have to learn Scala or be an expert at Java8 constructs!
  4. 4. Spark in Action is a complete guide Via carefully-selected examples, you'll master Spark SQL, the dataframe API, and techniques for ingesting data from a variety of sources. But don’t be fooled! Even if the book starts with the basics, advanced topics like custom data sources or database dialects are included.
  5. 5. Learn from an expert The author or Spark in Action is an experienced consultant and entrepreneur passionate about software engineering and all things data. He was recognized as the first IBM Champion in France, an honor he's now held for his tenth consecutive year.
  6. 6. If you want to learn more, read the first chapter of Spark in Action here. With Spark in Action—get it for 42% off with code slperrin at manning.com.

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