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Apache Spark with Scala – Hands-On with Big Data!

You're reading from Apache Spark with Scala – Hands-On with Big Data! Dive right in with 20+ hands-on examples of analyzing large datasets with Apache Spark, on your desktop or on Hadoop!

Product type Video

Published in Sep 2016

Last Updated in Oct 2022

Publisher Packt

ISBN-13 9781787129849

Length 8hrs 55mins

Edition 1st Edition

Languages

Scala

Tools

IntelliJ Idea

Concepts

Data Processing

Author (1):

Frank Kane

View More author details

Table of Contents (10) Chapters

1. Getting Started

2. Scala Crash Course (Optional) FREE CHAPTER

3. Using Resilient Distributed Datasets (RDDs)

4. SparkSQL, DataFrames, and DataSets

5. Advanced Examples of Spark Programs

6. Running Spark on a Cluster

7. Machine Learning with Spark ML

8. Introduction to Spark Streaming

9. Introduction to GraphX

10. You Made It! Where to Go from Here

Learning More, and Career Tips

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Apache Spark with Scala – Hands-On with Big Data! [Video]

Published in: Sep 2016

Publisher: Packt

ISBN-13: 9781787129849

© 2016 Packt Publishing Limited All Rights Reserved

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Authors (1)

Frank Kane

Frank Kane

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.

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