The Virtual Data Lake for a Data Scientist

In the previous article we reviewed the architectural elements of the virtual data lake, dug deeper into its technical implications. In this post, we will review the architectural elements of the virtual data lake, and will discuss why a virtual…

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customer-360

Catering to Customers, Individually

The current data-volume explosion can be traced back to a time when our society began to focus more on customers as individuals. We see ourselves as independent, unique people with free will, not bound by social conformity. Catering to that…

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Top 5 Data Management Trends for 2015

Top 5 Data Management Trends for 2015

The New Year brings a complex environment for enterprises. The rapid growth of big data presents enormous challenges for organizations. And the volume of data is expanding at an alarming rate with data production expected to be 44 times greater…

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