The proliferation of unstructured and semi-structured data from external sources is mainly responsible for the current demands for a semantic layer. Applying a standardized semantic layer atop data fabrics, data lakes, and data lakehouses lets end users select data based on business objectives. Besides, this layer is endlessly reusable for any use case.
A standardized semantic layer with semantic technologies involves universal Resource Description Framework (RDF) standards. Hence, it is immediately applicable to industry-wide ontologies. Organizations can use any technology or data format with this semantic layer, which will naturally evolve to blend with the RDF standard and the specific data models these knowledge graphs contain.
In short, for the majority of use cases, the best way to future-proof the enterprise is to adopt a standardized semantic layer with semantic technologies. This method provides a seamless business understanding of data that complements any current or future IT needs while reinforcing data integration, analytics, and data governance.
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