Solve Schema Matching Challenges with CData Connect AI
Blog post from CData
CData Connect AI is presented as a tool for addressing schema mismatches, such as inconsistent field names, data types, and formats, that can complicate reporting and analytics and often require manual cleanup or scripting. It connects directly to SaaS applications, databases, and other sources using standard credentials, then enables users to shape datasets through a no-code Query Builder, a natural-language AI SQL Generator, or a SQL Editor for custom queries. Users can save configured queries as reusable, live derived views or virtual datasets that remain updated as source data changes. These prepared datasets can be connected to BI platforms including Tableau, Power BI, and Looker, with the aim of reducing post-extraction rework, shortening time to insight, and allowing business users to manage schema alignment independently.
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