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These include ETL processes, searching, accessing, data cleansing, data creation, semantic data integration , and the IT infrastructure to support it. These include ETL processes, searching, accessing, data cleansing, data creation, semantic data integration , and the IT infrastructure to support it. But that’s not true.
I think it’s fair to say that LLMs dominated the discussions. Specifically, I explore the challenges of complexity , scale , explainability , and trust. The challenge of complexity Knowledge models for taxonomy have responded to an increasing need for sophistication and expressiveness.
In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail. ” 1. The Power of Social Metadata.
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