From taking mobile to the next level to preparing for a hybrid cloud world, we offer a dozen suggestions for moving toward progressive IT.
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The smartest business decisions are based on fact, not gut feel. That means they're based on analysis of data, a resource that most organizations have stockpiled but failed to use to guide their business decisions. These stockpiles are growing faster than ever, with Internet clickstreams, sensor data, log files, mobile data, and social-network comments adding to vast stores of transactional information.
Led by Internet marketers, telecommunications providers, and other big data pioneers , enterprises are embracing new technologies to tap into their big data stores. Massively parallel processing (MPP) platforms and column-store databases, for example, have flourished in recent years, often deployed on pre-integrated data warehousing appliances complete with software and hardware. On the cutting edge, NoSQL (not only SQL) platforms such as Cassandra and Hadoop are now on the rise, offering low-cost options for processing and managing semi-structured, unstructured and combined data types encountered at a massive scale.
If your data volumes are headed north of 10 terabytes and you're encountering a greater variety of data, more complex data, and expectations for faster insight, it's time to reexamine your information-management strategy and infrastructure.
Google in the Enterprise SurveyThere's no doubt Google has made headway into businesses: Just 28 percent discourage or ban use of its productivity products, and 69 percent cite Google Apps' good or excellent mobility. But progress could still stall: 59 percent of nonusers distrust the security of Google's cloud. Its data privacy is an open question, and 37 percent worry about integration.