IBM's BLU Acceleration aims to change Big Data

“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.

  1. A new acceleration technology “BLU Acceleration” targeting DB2 solutions.
  2. A new IBM PureData System for Hadoop. Hadoop is the game-changing open-source solution for big data.
  3. A new version of InfoSphere BigInsights, IBM’s enterprise-ready Hadoop offering, which makes it simpler to develop applications using existing SQL skills.

 

About “BLU Acceleration”:

  1. Extending In-Memory solution IBM said BLU Acceleration makes it possible for users to access key information more quickly, which, in turn, leads to better decision-making. 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.
  2. 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.
  3. 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.

 

 

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