Big data and analytics are moving into more mature stages of deployment.
This is good news, especially for small to mid-sized companies that are deploying the technology and have been struggling to define an architecture for big data in their companies.
Uncertainty about how to define an overarching architecture for big data and analytics is one of the reasons why mid- and small-sized companies have lagged in their big data and analytics deployments. In many cases, they have chosen to wait on the sidelines to see how trends like hybrid computing, data marts and master databases, and control over security and governance were going to play out.
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