An Enterprise Data Strategy That Works For Hybrid Data

Enterprises often manage data across on-premises systems, multiple clouds, data lakes, warehouses, and SaaS applications, making full consolidation into a single platform costly, slow, and difficult to govern. The article argues that query federation offers a practical hybrid-data strategy by allowing teams to use a common SQL layer to query and join data where it resides, rather than replicating it through lengthy migration programs. Federation engines can push processing to source systems and retrieve only necessary results, potentially reducing transfer, storage, and pipeline-maintenance costs while preserving performance. Governance is applied at the query layer through centralized access controls, masking, and audit logging, which can support analytics and AI initiatives without recreating security policies for every data copy. The approach also treats on-premises infrastructure as a lasting part of the data estate rather than a temporary migration target, and recommends identifying data that truly needs centralization, finding queries that currently require unnecessary movement, establishing governance rules early, and piloting federation with real cross-source business questions.

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