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Andrey Sydelov | Data Engineering, Cloud Architecture, ML Systems
Andrey Sydelov | Data Engineering, Cloud Architecture, ML Systems
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Data Engineering
AI Engineering
Andrey Sydelov | Data Engineering, Cloud Architecture, ML Systems
Andrey Sydelov | Data Engineering, Cloud Architecture, ML Systems
Home
Data Engineering
AI Engineering
Home
Data Engineering
AI Engineering
You Can’t Trust COUNT and SUM: Scalable Data Validation with Merkle Trees
Andrey Sydelov 4/21/26 Andrey Sydelov 4/21/26

You Can’t Trust COUNT and SUM: Scalable Data Validation with Merkle Trees

A Merkle Tree is a scalable, SQL-friendly approach to verifying data integrity — widely used in systems like Git, blockchains, and distributed databases.

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The current standard for scalable, real-time, and AI-ready data platforms
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