Big Data Analysis in the Clouds
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Big Data Analysis in the Clouds
Scientific, economic, social, political and cultural issues
Curated by Pierre Levy
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The Future Perils And Promises Of Big Data - Cloudera Co-Founder Mike Olson Shares His Views

The Future Perils And Promises Of Big Data - Cloudera Co-Founder Mike Olson Shares His Views | Big Data Analysis in the Clouds | Scoop.it
I have had the pleasure to speak to Mike Olson, one of the co-founders of Cloudera, to explore the future of big data. Cloudera was established in 2008, when few had heard of the term “Big Data”, and has gone on to establish itself as a driving force in the [...]
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What is Hadoop - An Easy Explanation For Absolutely Anyone – Data Science Central

What is Hadoop - An Easy Explanation For Absolutely Anyone – Data Science Central | Big Data Analysis in the Clouds | Scoop.it
Pierre Levy's insight:

Short and simple explanation. Hadoop uses a lot of servers as if it was one single computer...

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8 big trends in big data analytics

8 big trends in big data analytics | Big Data Analysis in the Clouds | Scoop.it
Big data technologies and practices are moving quickly. Here's what you need to know to stay ahead of the game.
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Why Data Scientists Want More Than Hadoop | Data Center Knowledge

Why Data Scientists Want More Than Hadoop | Data Center Knowledge | Big Data Analysis in the Clouds | Scoop.it
Many new analytical uses require more powerful algorithms and computational approaches than what’s possible in Hadoop or relational databases, writes Marilyn Matz of Paradigm4. Data scientists increasingly need to leverage all of their organization’s data sources in novel ways, using tools and analytical infrastructures suitable for the task. Read More
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DataTorrent, A Big Data Platform Built On Hadoop, Can Process A Billion Events Per Second | TechCrunch

DataTorrent, A Big Data Platform Built On Hadoop, Can Process A Billion Events Per Second | TechCrunch | Big Data Analysis in the Clouds | Scoop.it

DataTorrent made its primary product, DataTorrent RTS, generally available today. The product is built on top of Hadoop 2.0 and allows companies to process massive amounts of big data in real time.

According to Phu Hoang, co-founder of the company, who was one of the first engineers at Yahoo! hired in 1996, the product can process more than a billion data events per second. Prior to a product like DataTorrent, companies would be looking back at what happened, rather than processing it in real time as it happens, and that’s a big change. ....


Via Rob Kitchin
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Cray integrates Hadoop Big Data analytics with supercomputers

Cray integrates Hadoop Big Data analytics with supercomputers | Big Data Analysis in the Clouds | Scoop.it
Cray is bringing integrated open source Hadoop Big Data analytics software to its supercomputing platforms.
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The future of big data is very, very fast

The future of big data is very, very fast | Big Data Analysis in the Clouds | Scoop.it
With In-memory solutions such as Spark and NoSQL databases, systems will optimize themselves so quickly, human intervention may become superfluous
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Platfora 4.0 First to Enable Business Users and Data Scientists to Visually Interact With Petabyte-Scale Data in Seconds

Platfora 4.0 First to Enable Business Users and Data Scientists to Visually Interact With Petabyte-Scale Data in Seconds | Big Data Analysis in the Clouds | Scoop.it
Strata + Hadoop Conference -- Platfora, the #1 native big data analytics platform for Hadoop, today introduced Platfora 4.0 with advanced visualizations, geo-analytics capabilities and collaboration features ...
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Hadoop 2.0: big data + cloud = big compute

Hadoop 2.0: big data + cloud = big compute | Big Data Analysis in the Clouds | Scoop.it
Hadoop 2.0’s YARN component doesn’t just make for a better Big Data platform. It makes for a great Big Compute platform.
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5 Reasons Hadoop Is Kicking Can and Taking Names

5 Reasons Hadoop Is Kicking Can and Taking Names | Big Data Analysis in the Clouds | Scoop.it
Hadoop s momentum is unstoppable as its open source roots grow wildly into enterprises.
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Hadoop: How it Became Big Data's Lynchpin

Hadoop: How it Became Big Data's Lynchpin | Big Data Analysis in the Clouds | Scoop.it
Doug Cutting, creator of the distributed computing platform Hadoop, on why the platform is in an almost unassailable position and what's in store for the platform.

Via Ed Stenson
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