Despite the explosion of 'talk to your data' agents, most fall short of production-grade accuracy — here's why the problem is architectural, not just about better LLMs.
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Data virtualization isn't replacing ETL or data warehouses — it's solving different problems. Understand when to use virtualization, federation, ETL, warehouses, lakes, and data fabric.
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Your enterprise data lives everywhere. This guide clarifies four dominant data architecture approaches and helps you choose the right path forward without creating new bottlenecks or requiring months of migration work.
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