Data Governance

1. September 28, 202631 min read

   Keeping Audit Snapshots Alive While Iceberg Snapshot Expiration Runs Every Night

   How Iceberg snapshot tags keep audit snapshots alive through nightly expiration: retention calendars, RETAIN semantics, compaction cost, and erasure conflicts.

2. September 28, 202630 min read

   Twelve Queries That Pass Every Schema Check and Still Return the Wrong Number

   Twelve query patterns that pass schema validation and still return wrong numbers, with detectors, required metadata, and tested code for each.

3. September 10, 202630 min read

   Agentic Data Architecture

   A six-layer reference architecture for agents on company data: planners, tool boundaries, identity, the semantic layer, and what breaks when a layer is missing.

4. August 4, 202620 min read

   Metric Contracts as the Interface AI Agents Actually Need

   Metric contracts as the interface AI agents need: calculation, inclusion rules, grain, temporal semantics, ownership, semantic versioning, and testing.

5. July 28, 202631 min read

   Guardrails for Analytics Agents That Do More Than Answer Questions

   The risk isn't agents going rogue, it's agents acting correctly on bad input at machine speed.

6. July 28, 202631 min read

   Building Agent Telemetry Tables in Iceberg That Survive an Audit

   A practical guide to building agent decision traces in Apache Iceberg that support audit reconstruction, governance review, and cost attribution.

7. July 28, 202631 min read

   Governing Iceberg Tables Across Regions Without Three Sets of Permissions

   Catalog federation gives you one authorization model and one audit point across regions. Here's what it solves, what it doesn't, and how to build.

8. July 6, 202630 min read

   The Who, What, and Why of Semantic Layers: The Layer That Decides Whether Your Numbers Can Be Trusted

   There is a survey statistic making the rounds this year that I cannot stop quoting: 84 percent of data teams report regularly encountering conflict...

9. June 8, 202614 min read

   Composable Analytics Beats Metric Catalogs

   Metric catalogs define what terms mean. Composable analytics defines how terms combine, transform, and relate.

10. June 8, 202614 min read

    Implementing MCP in the Lakehouse

    How to build a Model Context Protocol (MCP) server that exposes lakehouse tables and semantic views as AI-accessible tools, with Python implementation.

11. June 8, 202614 min read

    SaaS Buyers Now Inspect Your Semantic Layer

    Enterprise SaaS procurement in 2026 evaluates how platforms expose data to AI agents. Semantic layers have become a decision criterion alongside.

12. June 8, 202614 min read

    Semantic View Autopilot in Snowflake Semantic Studio

    Snowflake Semantic View Autopilot automates semantic view creation from query history and BI assets.

Browse all posts