Posted by jaymepobre748 September - 29 - 2012 ADD COMMENTS

Check out these distributed computing images:

p1030534

Image by Lamsus Crusoe
DICOMO2007
2nd day (July 5)

Session 5G: distributed & grid computing 2 (DPS)

5G-4 (11:35-12:00)

The title of my presentation is "A Process Description Language for Cooperative
Computing Systems using Super and Compact Computers".

p1030537

Image by Lamsus Crusoe
DICOMO2007
2nd day (July 5)

Session 5G: distributed & grid computing 2 (DPS)

5G-4 (11:35-12:00)

The title of my presentation is "A Process Description Language for Cooperative
Computing Systems using Super and Compact Computers".

Tags : , Big Data Analytics
Posted by BlairMABEL25 September - 28 - 2012 ADD COMMENTS

The Beauty and Joy of Computing Professor Dan Garcia Link to lecture notes: inst.eecs.berkeley.edu
Video Rating: 5 / 5

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Posted by BlairMABEL25 September - 22 - 2012 ADD COMMENTS


Advanced Concepts Team – European Space Agency – Advanced Concepts Team @ ESA: Research News
from Advanced Concepts Team @ ESA: Research News
Price: USD 0
View Details about Advanced Concepts Team – European Space Agency

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Posted by mod198 September - 19 - 2012 ADD COMMENTS


Matthew Bass – raleigh.rb
from raleigh.rb
Price: USD 0
View Details about Matthew Bass

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Posted by admin September - 18 - 2012 ADD COMMENTS

On March 11. 2012, while in Austin for SXSW, Carnegie Mellon University’s Heinz College hosted a Big Data Blowout. The event brought together current students, alumni and industry partners for great food & music, networking and a panel on data analytics.
Video Rating: 5 / 5

Animated video with music on NetApp’s Big Data Analytics capabilities
Video Rating: 4 / 5

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Posted by BlairMABEL25 September - 14 - 2012 ADD COMMENTS

by YDN Korea

Article by Zoltan Mesko

ClouderaS Developer Training For Hadoop Delivers Key Concepts And Expertise – Web Development

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Hadn’t there been any Cloudera, there wouldn’t have been Yahoo! and Facebook. Well, almost. Today, Cloudera has become synonymous with biggie web giants because it makes Hadoop. Hadoop in turn controls their search engines and determines the ads displayed next to the results. Therefore, there is a mad rush to learn the ways Cloudera oprates and functions; executing a search engines data processing. Cloudera also offers services, training and support for Hadoop and other applications (Cloudera Training for HBase and Cloudera Training for Apache Hive and Pig).

Cloudera’s Developer Training for Hadoop delivers key concepts and expertise necessary to create robust data processing applications using Apache Hadoop. Through lecture and interactive, hands-on exercises, students navigate the Hadoop ecosystem, learning topics such as; MapReduce and the Hadoop Distributed File System (HDFS) and how to write MapReduce code, Best practices and considerations for Hadoop development, debugging techniques and implementation of workflows and common algorithms, How to leverage Hive, Pig, Sqoop, Flume, Oozie and other projects from the Apache Hadoop ecosystem, Optimal hardware configurations and network considerations for building out, maintaining and monitoring your Hadoop cluster, Advanced Hadoop API topics required for real-world data analysis.

Similarly, Cloudera’s training course for Apache HBase provides Hadoop developers and administrators with the skills they need to install and maintain HBase and develop client code. HBase is an open-source, non-relational, distributed database that provides a fault-tolerant, scalable way to store massive quantities of data. It supports extremely high-volume reads and writes, scaling up to hundreds of thousands of operations per second. It is being used in production by numerous organizations who want extremely high-speed, random read/write access to very large datasets.

Students are imparted with original knowledge and extensive skills regarding HBase. These include; Introduction to Apache HBase, Schema modeling, Apache HBase shell, Apache HBase architecture, Apache HBase Java APIs, Advanced Apache HBase features, Apache HBase deployment.

The Cloudera Training for Apache Hive and Pig work out as follows. Hive makes Hadoop accessible to users who already know SQL; Pig is similar to popular scripting languages. Students who have basic familiarity SQL and/or a scripting language can take this training well. In the Training for Hive and Pig you learn, How Hive augments MapReduce, How to create and manipulate tables using Hive, Hive’s basic and advanced data types, Partitioning and bucketing data with Hive, Advanced features of Hive, How to load and manipulate data using Pig, Features of the PigLatin programming language, Solving real-world problems with Pig.

About the Author

Get Cloudera Hadoop Training by OSSCube, Asias first Cloudera Training Partner. Consulting, Migration and Integration.OSSCube has a pool of SugarCRM Experts to provide Hadoop Services not only for small and medium scale businesses as well as corporates.

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Zoltan Mesko



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Posted by BlairMABEL25 September - 13 - 2012 ADD COMMENTS

Boulder, CO (PRWEB) August 22, 2012

Precog, the market-leading provider of analytics as a service, today announced that it has partnered with GridGain Systems, a real time big data software company, to offer a real-time data analysis solution. Labcoat by GridGain is a breakthrough analytics platform created from the fusion of two best-in-breed technologies: the data analysis technology of Precog, and the in-memory big data technology of GridGain.

With an interactive environment for data analysis, Labcoat empowers data analysts, data scientists, and business users to integrate, analyze, and visualize massive volumes of structured or semi-structured data. Powered by GridGain’s highly-scalable, in-memory data platform, Labcoat helps businesses answer their deepest questions with real-time performance and Enterprise-class scalability.

GridGain has proven itself the platform of choice for real-time big data applications. More Fortune 500 businesses rely on GridGains in-memory big data platform than any other vendor, said Nikita Ivanov, Founder & CEO of GridGain. Now with Labcoat, GridGain has the unprecedented ability to perform sophisticated analytics with a simple user-interface and no coding.

The Labcoat environment with the Quirrel evaluation and execution engine is sourced from Precog, while the in-memory scalable data grid is sourced from GridGain. The fusion of the two technologies is seamless and the entire package is available as a single download (no installation is required for Labcoat, as the software is web-based).

For decades, companies have used legacy SQL systems to analyze data. But legacy systems cant keep up with todays exploding volumes of data, and they can only answer simple questions about data. says John A. De Goes, CEO of Precog. With Labcoat by GridGain, companies can now mine any amount of data to find answers to the deepest of questions, with blisteringly fast performance. Its a revolution in data science.

To learn more about Labcoat by GridGain, please visit the Precog website at http://www.precog.com and contact us to receive more information. To experiment with the Labcoat application, please go to labcoat.precog.com

About Precog:

Precog is the leading provider of analytics as a service, helping developers incorporate intelligence and insights into their applications. Precog employs the original authors of the Quirrel language, and has developed the industry’s most complete and heavily-optimized execution stack for the Quirrel language. In addition, Precog develops Labcoat, a highly-interactive, collaborative data analysis environment. For more information, please visit http://www.precog.com and follow Precog on Twitter @precogio.

About GridGain:

GridGain develops scalable, distributed, in-memory data platform technology for real time data processing. The companys Java-based middleware products enable development of applications and services that can instantly access terabytes to petabytes of information from any data source or file system, distribute computational tasks across any number of machines, and produce results orders of magnitude faster than traditionally architected systems. GridGains customers include innovative web and mobile businesses, leading Fortune 500 companies, and top government agencies. The company is headquartered in Foster City, California. Learn more at http://www.gridgain.com and follow GridGain on Twitter @gridgain.

Media Contact:

Precog

Tasha Danko, 720-936-1131

marketing(at)precog(dot)com

or

GridGain Systems, Inc.

Jon Webster, 650-241-2281, ext. 2011

jwebster(at)gridgain(dot)com







Find More Distributed Computing Press Releases

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Posted by jaymepobre748 September - 11 - 2012 ADD COMMENTS

Check out these Big Data Analytics products:

Pushbutton SEO For WordPress
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Posted by mod198 September - 10 - 2012 ADD COMMENTS

Check out these distributed computing products:

Ultimate Software Bundle – Want To Make Large Commissions?
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Posted by gildenshelton565 September - 8 - 2012 ADD COMMENTS

Big Data Analytics on eBay:

Big Data Analytics: Disruptive Technologies for Changing the Game
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