Cloudera CEO Mike Olson is concerned about the slow adoption of Hadoop in small businesses, he said at
GigaOm's Structure:Data event. Because of this, Olson said to
companies working on applications to perform analytics atop Hadoop or to those developing middleware:
Call me, I’ll connect you with funding. The money is out there.
While enterprise interest in Hadoop is soaring, the dearth of professional analytics applications using it poses a real limitation to adoption, Olson continued. Hadoop has been receiving a lot of interest lately, with it being
one of the most-searched terms on Gartner's website, spiking 601.8 percent in the past 12 months. Banking, finance and insurance were the sectors leading the way, yet small businesses are finding it a bit more difficult to use. While large companies with plenty of engineers are working through Hadoop, smaller companies with limited resources struggle with it, and they would use it more if only they had more resources and Hadoop was easier. Because of this, Olson said to
companies working on applications to perform analytics atop Hadoop or to those developing middleware:
Call me, I’ll connect you with funding. The money is out there.
The
big vendors are moving beyond creating just connectors between data stores. After all,
Big Data involves more than just storing and processing massive amounts of information. It's about collecting, organizing, analyzing and sharing as well.
Big Data will require innovation all along that pipeline said
Amazon CTO Werner Vogels. The
shortage of analytical talent poses another obstacle, though that's
far from the only skill set in demand. (
Database administrator ranked No. 5 on U.S. News & World Report's list of the best jobs of 2012.) Meanwhile, according to a McKinsey report, U.S. employers by 2018 will need between 140,000 and 190,000 additional experts in statistical methods and data-analysis technologies and, more interestingly, an additional 1.5 million managers and analysts who can apply this insight.