Logical Data Warehouse

Analytical data architecture that optimizes diverse data sources and use cases

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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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