As the "coming out" year for big data and data science draws to a close, what can we expect over the next 12 months?
More powerful and expressive tools for analysis
This year has seen consolidation and engineering around improving the basic storage and data processing engines of NoSQL and Hadoop. That will doubtless continue, as we see the unruly menagerie of the Hadoop universe increasingly packaged into distributions, appliances and on-demand cloud services. Hopefully it won't be long before that's dull, yet necessary, infrastructure.
Looking up the stack, there's already an early cohort of tools directed at programmers and data scientists (Karmasphere, Datameer), as well as Hadoop connectors for established analytical tools such as Tableau and R. But there's a way to go in making big data more powerful: that is, to decrease the cost of creating experiments.... 続きを読む
http://radar.oreilly.com/2011/12/5-big-data-predictions-2012.html
2011/12/28
Five big data predictions for 2012
