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EMC's Hadoop Strategy: Cutting To The Chase
Posted January 31, 2012
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By Tony Baer
To date, Big Storage has been locked out of Big Data. It's been all about direct attached storage for several reasons. First, Advanced SQL players have typically optimized architectures from data structure (using columnar), unique compression algorithms, and liberal usage of caching to juice response over hundreds of terabytes. For the NoSQL side, it's been about cheap, cheap, cheap along the Internet data center model: have lots of commodity stuff and scale it out. Hadoop was engineered exactly for such an architecture; rather than speed, it was optimized for sheer linear scale.
Over the past year, most of the major platform players have planted their table stakes with Hadoop. Not surprisingly, IT household names are seeking to somehow tame Hadoop and make it safe for the enterprise.
Up till now, anybody with armies of the best software engineers that Internet firms could buy could brute force their way to scale out humungous clusters and if necessary, invent their own technology, then share and harvest from the open source community at will. READ FULL ARTICLE HERE
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