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IBM
IBM's BLU Acceleration Could Change Big Data

By Jennifer LeClaire
April 5, 2013 11:04AM

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"In contrast to some competitors, the company believes Big Data isn't some new issue requiring emerging or arcane technologies," said analyst Charles King on IBM's BLU Acceleration technologies. "Instead, IBM views Big Data as a fundamental challenge that stretches across the IT landscape, tangibly affecting the technology market as a whole."
 



Three new products have just been rolled out by IBM, including technologies that promise 25 times faster reporting and analytics. The technologies includes an innovation called "BLU Acceleration," which combines several techniques to improve analytical performance and simplify administration.

Big Blue also announced a new IBM PureData System for Hadoop. Hadoop is the game-changing open-source software used to organize and analyze vast amounts of structured and unstructured data, such as posts to social media sites, digital pictures and videos, online transaction records, and cell phone location data.

"Big Data is about using all data in context at the point of impact," said Bob Picciano, general manager for IBM Information Management. "With the innovations we are delivering, now every organization can realize value quickly by leveraging existing skills as well as adopt new capabilities for speed and exploration to improve business outcomes."

Extending In-Memory

IBM said BLU Acceleration makes it possible for users to access key information more quickly, which, in turn, leads to better decision-making. The software extends the capabilities of traditional in-memory systems. That extension allows data to be loaded into RAM instead of hard disks for faster performance by providing in-memory performance even when data sets exceed the size of the memory.

According to Big Blue, innovations in BLU Acceleration include "data skipping." Data skipping allows the ability to skip over data that doesn't need to be analyzed, such as duplicate information. Other innovations include the ability to analyze data in parallel across different processors and greater ability to analyze data transparently to the application, without the need to develop a separate layer of data modeling.

Another industry-first advance in BLU Acceleration is called "actionable compression," where data no longer has to be decompressed to be analyzed. During testing, some queries in a typical analytics workload were more than 1,000 times faster when using the combined innovations of BLU Acceleration.

The company also announced a new version of InfoSphere BigInsights, IBM's enterprise-ready Hadoop offering, which makes it simpler to develop applications using existing SQL skills, compliance security and high-availability features vital for enterprise applications.

Just Big Talk?

We caught up with Charles King, principal analyst at Pund-IT, to get his take on IBM's new innovations. He told us proponents often describe Big Data as the "next big thing" in IT. By that, he said, they mean it is technology so deeply attuned to the market's current state and emerging needs that it will inspire a transitional evolutionary leap forward analogous to previous transitions, from mainframes to clients/servers to PCs, to the Internet to cloud computing. (continued...)

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hmaneuver:

Posted: 2013-04-05 @ 7:59pm PT
Vertical has been doing this for years... Yawn.



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