One of the major reasons for Big Data failure in many organizations is not taking the time to set out clear and realistic goals from the very beginning. Doug Henschen (Executive Editor, InformationWeek) reports on findings made from a survey of IT staff (Conducted by Infochimps — A cloud-services provider).
The survey, which considered the opinions of 300 IT staffers, showed the following…
1. There are unrealistic expectations of Hadoop. Many have the erroneous belief that it can handle all their Big Data challenges. Relying on Hadoop-based techniques alone will hamper an organization’s ability to meet its needs for analysis. To read on this further, click here...
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