TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

IBM dashDB Local: Using a Software-Defined Environment in a Private Cloud to Enable Hybrid Data Warehousing

October 24, 2016

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:

• Delivering new analytics services and data sets to meet time-sensitive business initiatives
• Managing escalating costs due to massive growth in new data sources, analytics capabilities, and users
• Achieving data warehouse elasticity and agility for sensitive business data

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