Data fabric serves as an architectural approach aimed at integrating and managing data across various platforms. It addresses critical issues like fragmentation, compliance, and Shadow IT, enabling organizations to enhance data security and governance. However, there is confusion around its definition due to varying vendor perspectives. Successful data fabric implementation involves understanding its components, including automated management, metadata-driven classification, and knowledge graphs, which collectively offer a unified view of data needed for effective business intelligence and AI initiatives.
Thanks to multiple, often vendor-centric, definitions, there remains confusion in the industry about the precise nature of data fabric.
...data fabric as a technology-driven approach to automating data management and data governance in a distributed architecture that includes on-premises, cloud and hybrid environments.
These capabilities provide the connective tissue that traverses disparate data silos and can complement the use of existing bespoke data tools...
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