Managing a large-scale, on-premises data warehouse environment to meet today’s growing analytics demands can be complex and expensive. It’s time to now consider architecting a hybrid data warehouse that ultimately lowers the cost of analytics, enables unprecedented flexibility, and delivers deeper insights.
A hybrid data warehouse introduces technologies that extend the traditional data warehouse to provide the key functionality required to meet new combinations of data, analytics, and location,
while addressing the following IT challenges:
Sponsored by IBM
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