Start reading Getting Started Guide: Analyzing Big Data with AWS on your Kindle in under a minute. Don't have a Kindle? Get your Kindle here.

Deliver to your Kindle or other device

 
 
 
Anybody can read Kindle bookseven without a Kindle devicewith the FREE Kindle app for smartphones, tablets, and computers.
Getting Started Guide: Analyzing Big Data with AWS
 
See larger image
 

Getting Started Guide: Analyzing Big Data with AWS [Kindle Edition]

Amazon Web Services

Digital List Price: CDN$ 0.99 What's this?
Kindle Price: CDN$ 0.00 includes free international wireless delivery via Amazon Whispernet
You Save: CDN$ 0.99 (100%)


Customers Who Bought This Item Also Bought


Product Description

Product Description

Big data—data sets that are too large to store in a traditional relational database and that require distributed applications for processing—can be expensive and complicated to manage. Moving your data to the cloud can reduce storage and analysis costs and simplify administration. This guide explains how to use Amazon Simple Storage Service (S3) to store big data, Amazon Elastic Cloud Compute (EC2) instances (virtual servers) to process it, and Amazon Elastic MapReduce to manage the details of storage, cluster configuration, monitoring, and analysis.

Product Details

  • Format: Kindle Edition
  • File Size: 1197 KB
  • Print Length: 49 pages
  • Simultaneous Device Usage: Unlimited
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B007Q4LMMI
  • Text-to-Speech: Enabled
  • X-Ray:
  • Amazon Bestsellers Rank: #7,669 Free in Kindle Store (See Top 100 Free in Kindle Store)
  •  Would you like to give feedback on images?


What Other Items Do Customers Buy After Viewing This Item?


Customer Reviews

There are no customer reviews yet on Amazon.ca
5 star
4 star
3 star
2 star
1 star
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 3.8 out of 5 stars  8 reviews
7 of 7 people found the following review helpful
2.0 out of 5 stars Would be great, if it really got you started - but it doesn't March 18 2013
By PrettyField - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
The "Getting Started Guide" starts off with great promise, but disappoints when the tutorial fails to work. When you google the problem, there are many people having the same problem (but no solutions, sadly). After spending 3 or 4 hours on a tutorial which claims to be a one hour tutorial, I am completely stumped. The tutorial is also dated, and the GUI elements on production AWS are not the same as described in the book.

The idea is great, but Amazon really ought to watch a user go through the painful process of trying to get this to work..
2 of 2 people found the following review helpful
3.0 out of 5 stars Great idea, but the tutorial is prohibitively outdated May 1 2014
By cs - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
This is a great idea, and I was excited to walk through the tutorial, but even though it says it's only 5 months old, templates appear to be missing now which makes it all but impossible to walk through the tutorial. Other, more minor, things like the Twitter developer interface have also changed, but those can be worked around. It would be great if this were updated to a version that has the supporting services and templates correctly identified.

Since this is basically advertising for Amazon's unstructured data capabilities, I would think it would be important to the authors to release a working version. If one shows up, I'll totally give it another try.
4.0 out of 5 stars Good "Getting Started" guide Aug. 20 2013
By Chris Moran - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
If you know what hadoop and MapReduce are about and want to make it work on Amazon's services, this guide will get you moving in the right direction.

Put simply, it is exactly as I expected.

If you want the theory behind what you're entering in the console, grab this one for later and search for the theory books.
5.0 out of 5 stars Helpful Information for A New, Growing Field March 7 2013
By Loyd E. Eskildson - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
The authors define 'big data' is data sets too large to be hosted in traditional relational databases and inefficient to analyze using nondistributed applications. The intent is to explain how Amazon Web Services (AWS) helps manage these large data sets, using web server logs as an example. AWS allows one to use distributed applications without maintaining an expensive array of processors.

The specific detailed example used assumes one wants to analyze web logs to discover how people find your site - especially which of your online ad campaigns are most successful in driving traffic to your online store. To proceed, one has to sign up for the service and pay the cost of computer support - about 29 cents for an hour.
5.0 out of 5 stars Arrived as promised. Aug. 18 2014
By Gretchen Gottlich - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
Arrived as promised.

Look for similar items by category