Ten Big Data Best Practices
August 11, 2013
Having to manage large quantities of unstructured data is a uniquely contemporary challenge, and many folks are still unsure how to approach the issue. A slideshow from eWeek offers some clarity in, “Managing Massive Unstructured Data Troves: 10 Best Practices.” Writer Chris Preimesberger introduces his list:
“Managing unstructured data is extremely important to reduce storage and compliance costs while minimizing corporate risk. This task has been painfully difficult due to the time, resources and overhead required to collect the immense volume of metadata and digest it into actionable business intelligence. The job isn’t going to get any easier all by itself. Gartner analysts predict unstructured data will grow a whopping 800 percent over the next five years, and that 80 (or more) percent of that new data will also be unstructured. If enterprises don’t have the right software to prepare for these forthcoming storage issues, they had better start planning to do something about it.”
The slideshow is designed to help organizations do just that. Its creators consulted a number of sources: research from analytic firms, tips from industry insiders, and an IBM survey of 1,500 CEOs [PDF]. The presentation begins with the assessment of an enterprise’s needs and current setup; encourages the elimination of outdated, inefficient approaches; and describes how to tackle the issue with today’s technology. It is a good starting point for anyone who foresees a big-data implementation (or upgrade) in their future.
Cynthia Murrell, August 11, 2013
Sponsored by ArnoldIT.com, developer of Augmentext
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