Just published! -- The Little Book of BIG DATA, 2012 Edition

Feb. 16, 2012 - PRLog -- Every day of the week, we create 2.5 quintillion bytes of data. This data comes from everywhere: from sensors used to gather climate information, posts to social media sites, transaction records of online purchases, and from cell phone GPS signals - to name a few.

In the 11 years between 2009 and 2020, the size of the "Digital Universe" will increase 44 fold. That's a 41% increase in capacity every year. In addition, only 5% of this data being created is structured and the remaining 95% is largely unstructured, or at best semi-structured. This is Big Data.

As Edd Dumbill (and no, that is not a typo), program chair for the O'Reilly Strata Conference and the O'Reilly Open Source Convention, explains: "The hot IT buzzword of 2012, Big Data has become viable as cost-effective approaches have emerged to tame the volume, velocity and variability of massive data. Within this data lie valuable patterns and information, previously hidden because of the amount of work required to extract them. To leading corporations, such as Walmart or Google, this power has been in reach for some time, but at fantastic cost. Today's commodity hardware, cloud architectures and open source software bring Big Data processing into the reach of the less well-resourced. Big Data processing is eminently feasible for even the small garage startups, who can cheaply rent server time in the cloud."

Firms such as Twitter, Facebook and eBay have already refined and mastered the arcane Zen or "data science" - the art of mining, interpreting and taking actionable information away from unstructured data. Now, aided by a raft of innovative firms who are busy enhancing and extending the industry-standard Hadoop software for conducting such analysis, the rest of the online industry is following their lead.

New Street's The Little Book of BIG DATA, 2012 Edition surveys all of today's leading Big Data analytics providers, explains the fundamentals of Hadoop-based research, and shows cost-effective strategies for leveraging Big Data metrics to the best advantage of your business, be it large or small.



CONTENTS

Introduction

What is Big Data?

Hadoop

Amazon Elastic MapReduce as a Service - Including DynamoDB and How to Use it for Free

Cloudera (And Oracle's Big Data Appliance)

Datameer Big Data Analytics

EMC Hadoop-Enhanced Isilon NAS ... Plus Data Domain and Greenplum

Hadapt - Uniting Relational and Hadoop Environments

Hortonworks

IBM BigInsights, BigSheets, and Netezza Customer Intelligence

Informatica

Karmasphere Analyst and Studio

MapR Technologies and The Most Powerful, Elegant FREE Version of Hadoop Available Anywhere

Microsoft's Big Data Solution

The Role of the Data Scientist

RainStor Big Data Analytics on Hadoop - The Industry's First Enterprise-Class Database Running Natively on Hadoop

DataStax (Including Coverage of the Free "Community Edition" of DataStax's Cassandra Implementation, with OpsCenter

Pervasive DataRush




Available as an eBook for the Amazon Kindle in the United States, United Kingdom, Germany, France, Italy and Spain.

USA Price: $3.95

For more information: http://newstreetcommunications.com/businesstechnical/the_...

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