Analyzing Big Data with Spark and Amazon EMR [Online Code]

This post contains affiliate links. As an Amazon Associate I earn from qualifying purchases Number of Videos: 1.5 hours – 17 lessonsAuthor:Frank KaneUser Level: IntermediateYou’re a software developer somewhat familiar with Apache Spark and how it’s used to analyze Big Data. You’ve been tasked with a Big Data analysis job and you want to rent

This post contains affiliate links. As an Amazon Associate I earn from qualifying purchases

Number of Videos: 1.5 hours – 17 lessons
Author:Frank Kane
User Level: Intermediate
You’re a software developer somewhat familiar with Apache Spark and how it’s used to analyze Big Data. You’ve been tasked with a Big Data analysis job and you want to rent space on a cluster to do it. But where to begin?

This is a hands-on course where Amazon Web Services pro Frank Kane shows you how to rent Amazon’s Elastic MapReduce service (EMR) at minimal cost and use it to run Spark scripts on top of a real Hadoop cluster. Kane’s approach is fun: You’ll learn a Big Data analysis process by actually deploying Spark on EMR to build a working movie recommendation engine using real movie ratings data. Learn Amazon EMR’s undocumented “gotchas”, so they don’t take you by surprise Save money on EMR costs by learning to stage scripts, data, and actions ahead of time Understand how to provision an EMR cluster configured for Apache Spark Explore two different ways to run Spark scripts on EMR Learn how to set up security, and monitor a Spark cluster through a web UI Understand how to interactively develop Spark code on EMR with Apache Zeppelin Gain experience with Spark and AWS – two skills that are highly valued by employersFrank Kane spent 9 years at Amazon and IMDb developing and managing the technology that delivers product recommendations to hundreds of millions of customers. Frank holds 17 patents in the fields of distributed computing, data mining, and machine learning. He now runs Sundog Software, a software company focused on virtual reality technology and on Big Data analysis training. He is the author of multiple titles on Spark, MapReduce, Spark Streaming, and Python.
Mac Minimum System Requirements:Mac Recommended System Requirements:Processor:   AnyRAM:   AnyHard Disk:   1GBVideo Card:   AnySupported OS:   Mac El Capitan 10.11, Mac Yosemite 10.10, Mac Mavericks 10.9, Mac Mountain Lion 10.8, Mac Lion 10.7, Mac Snow Leopard 10.6, Mac Leopard 10.5, Mac OS X, Macintosh

Product Features

  • Learn Analyzing Big Data with Spark and Amazon EMR from a professional trainer on your own time at your own desk.
  • This visual training method offers users increased retention and accelerated learning.
  • Breaks even the most complex applications down into simplistic steps
  • Comes with Extensive Working Files

This post contains affiliate links. As an Amazon Associate I earn from qualifying purchases