Logical Data Warehouse

Analytical data architecture that optimizes diverse data sources and use cases

In most organizations, as data and analytics needs evolve, so does the infrastructure to support them, which leads to a variety of fit-for-purpose, physical data management approaches: data warehouses, data marts, sandboxes, data lakes, and others, in the cloud, on-premises, or both. The resulting data silos make it difficult to drive needed insights.

Pragmatic companies are implementing a logical data warehouse architecture that augments, rather than replaces, existing data environments. The logical data warehousing approach meets ever-changing data and analytic requirements while taking advantage of existing data investments.

Download this datasheet to understand the features and benefits of TIBCO’s logical data warehouse solution.

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