The Role of the Semantic Layer in Modern Data Architectures

9 Pages

CData helped enterprises navigate complex, fragmented data landscapes by providing an independent semantic layer that unifies and simplifies data access across diverse systems. Their solution enables seamless querying of live data without copying or moving it, ensuring data consistency, governance, and security. CData’s semantic layer empowers business users with self-service analytics, accelerates insights, reduces data redundancy, and standardizes metadata and business logic—enhancing operational efficiency, data trust, and decision-making agility across organizations.

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Case Study Demystifying the Semantic Layer

Case Study How to use Semantic Layer for Data & Analytics

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