Taming Big Data with Apache Spark and Python - Hands On! [Video]

Taming Big Data with Apache Spark and Python - Hands On! [Video]

Frank Kane

More than 15 hands-on examples to help you analyze large data sets with Apache Spark
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Video Details

ISBN 13 9781787129931
Course Length 5 hours 11 minutes

Table of Contents

You Made It! Where to Go from Here

Video Description

Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis. This course will be your companion to learn Apache Spark in a hands-on manner. Start with understanding how to set up Spark on a single system or on a cluster. From analyzing large data sets using Spark RDD, to developing and running effective Spark jobs quickly using Python, this course will teach you everything. Packed with over 15 interactive, fun-filled examples relevant to the real-world, the course will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease.

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What You Will Learn

  • Learn how you can identify the Big Data problems as Spark problems
  • Install and run Apache Spark on your computer or on a cluster
  • Analyze large data sets across many CPUs using Spark’s Resilient Distributed Datasets (RDDs)
  • Implement machine learning on Spark using the MLlib library
  • Process continuous streams of data in real time using the Spark streaming module
  • Perform complex network analysis using Spark’s GraphX library
  • Use Amazon's Elastic MapReduce service to run your Spark jobs on a cluster

Authors

Table of Contents

You Made It! Where to Go from Here

Video Details

ISBN 139781787129931
Course Length5 hours 11 minutes
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