Practical articles on AI, Data Engineering, Metadata-Driven Development, Snowflake, Enterprise Architecture, and Modern Data Platforms.
Real-world engineering lessons, technical deep dives, and implementation guides by Amit Singh · 18 articles published
Showing 5 articles tagged #Snowflake
A practical guide to the Snowflake Cortex Agent SDK, covering Python setup, Cortex Analyst semantic modeling, Cortex Search, streaming, background execution, security, and the governance considerations that make AI agents reliable on enterprise data.
Understanding agentic AI concepts is important - but the most valuable skill is engineering judgment: knowing when a prompt, Python script, or SQL query is the better answer than an agent.
Legacy ETL modernization is more than a code conversion exercise. Translating Informatica PowerCenter mappings to Snowflake SQL requires preserving transformation intent, surfacing hidden assumptions, and ensuring human approval before any artifact is released.
Organizations spend millions modernizing data platforms - yet many programs still struggle. The reason is surprisingly simple: technology changes, metadata remains. Here's why metadata-driven engineering changes the conversation.
Can a metadata-driven engine understand and generate engineering artifacts from large, complex STTM documents without custom coding for every project? Here is what happened when we put it to the test.