Data Lakes: Storing Raw Frames & Insights Side-by-Side
Oleg Tagobitsky Oleg Tagobitsky

Data Lakes: Storing Raw Frames & Insights Side-by-Side

Storing raw images and their insights in one data platform is no longer a luxury — it’s a competitive edge. Lakehouse architectures now make it possible to ingest JPEGs and JSON outputs from computer vision APIs into the same environment, enabling seamless SQL queries across pixels and business KPIs. From retail analytics to compliance reporting, this blog explores how to structure, govern and optimize a lake-native image strategy — unlocking visual data’s full potential while controlling costs.

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