Analyzing Big Data with Spark and Amazon EMR
Analyzing Big Data with Spark and Amazon EMR
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 451 MB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 451 MB
Genre: eLearning | Language: English
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 employers
Analyzing Big Data with Spark and Amazon EMR
