Published: 18 September 2014
Summary
The traditional data warehouse has been overwhelmed by analytic demands, giving rise to the logical data warehouse as a best-in-class architecture for a new style of data management solutions for analytics.
Included in Full Research
- Expanding the Data Warehouse
- Big Data's Role in the Data Warehouse
- The Emergence of Best-Fit Engineering
- Because traditional data warehouse practices will be outdated by the end of 2018, data warehouse solution architects must evolve toward a broader data management solution for analytics
- Starting in 2018, data warehouse managers will benefit from hybrid architectures that eliminate data silos by blending current best practices with "big data" and other emerging technology types
- CIOs can develop strategic goals now that leverage "best-fit engineering" approaches to manage analytics data management costs by clarifying when to use vendor "stacks" and when to utilize best-of-breed