IBM's Big Plans for Big Data: Hadoop and BLU Acceleration
Enterprises are drowning in data. That's why every major vendor is jumping at the chance to provide an analytics tool that takes advantage of Hadoop -- the trendy open source software that crunches vast quantities of data across distributed applications, including social media, e-commerce and mobile.
IBM's latest Hadoop-based solution to the data overload problem is called PureData; the company says it will let all types of enterprises manage and analyze data on the cheap, with management and security tools built right in. It does this by distinguishing between older data, and currently-used data. The former gets analyzed in an archive, while the latter gets analyzed in real time.
At the same time that it announced PureData, IBM also announced BLU Acceleration -- another analytics platform that makes distinctions between less urgent and duplicate data, and provides faster access to important data using a system it calls "data skipping." BLU Acceleration also uses "actionable compression," a technique for analyzing data that is still in a compressed format. IBM says this technique has the potential to result in analytics workloads that are 1,000 times faster than previously.
Companies such as Kelley Blue Book and BNSF Railway are already testing these tools in their data operations. All the software tools recently announced by IBM will be available for purchase by June, except for PureData, which becomes available in the second half of 2013.
Rachel Rosmarin's technology experience goes back a decade to the dawn of Wi-Fi, smartphones and the Mp3. She has an in-depth knowledge of consumer electronics and has cultivated her love of useful new toys and innovative social software at publications including Tom’s Guide, Forbes, 2.0, Sound & Vision and Mobile Magazine. She holds degrees in Journalism and Science In Human Culture from Northwestern University and is based in Los Angeles.
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