O'Reilly - Analyzing Big Data with Spark and Amazon EMR

Category: Tutorial

Tag: Database/SQL


Posted on 2017-09-17, by nokia241186.

Description




O'Reilly - Analyzing Big Data with Spark and Amazon EMR
English | Size: 453.51 MB
Category: Tutorial
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
DOWNLOAD
(Buy premium account for maximum speed and resuming ability)


Sponsored High Speed Downloads
7135 dl's @ 3612 KB/s
Download Now [Full Version]
6138 dl's @ 3296 KB/s
Download Link 1 - Fast Download
8393 dl's @ 2290 KB/s
Download Mirror - Direct Download



Search More...
O'Reilly - Analyzing Big Data with Spark and Amazon EMR

Search free ebooks in ebookee.com!


Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books


Comments

No comments for "O'Reilly - Analyzing Big Data with Spark and Amazon EMR".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.
    Back to Top