Overview

If you're an Apache Spark developer, this practical book provides an introduction to the Scala programming language to help you get more out of this framework. Written in Scala, Spark uses its rich Domain-Specific Language (DSL) abilities to present SQL views, extensibility, streaming, and DataFrames. With Scala, you'll be able to perform on par with Java, and work with distributed systems based on the Java Virtual Machine (JVM). Spark succeeded mostly because it took very intuitive Scala collections API and made them work on a cluster, unifying the memory of all of its machines to present a coherent view of a big data collection. Spark tries to conform to the Scala API as close as possible, and in this book, we take a view that Spark is simply distributed Scala. That makes many points of Spark much easier to understand

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9781491929285

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Alexy Khrabrov is the Chief Scientist at Nitro, a web-scale document productivity company running on Scala and Spark. He programs in Scala since 2009, and is the founder of Scala for Startups meetup, merged with SF Scala to become the largest Scala meetup in the world, sfscala.org. Alexy is an early pioneer of Spark, using it since 2012, and the founding co-organizer of Spark Users (sfspark.org), spun off of SF Scala

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