Looking at the increasing attendance levels at the Bay Area Hadoop meet last month, it is very clear that this segment is gaining a lot of traction. Even folks who have been steeped in traditional DW/BI solutions swearing never to defect are now taking a serious look at Big Data. The name is a bit of a misnomer: while Big Data offerings may lend themselves well to dealing with large amounts of data with their inbuilt distributed DB like architecture, their analytics can be availed of by anyone no matter what the amount of data they have. This is because of the unique, multi-dimensional analytical technology driven by Map/Reduce.
Given these radical changes, Infogain has decided to build a practice around Big Data. This will be kicked off by the setting up of a COE around Big Data with products like Hadoop and AsterData. We need help so anyone interested in working on these technologies and helping us setup this COE can send their requests to krish.khambadkone@infogain.com
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