Topic
Data Governance
9 posts tagged “Data Governance”.
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Metric Contracts as the Interface AI Agents Actually Need
Two teams present in the same meeting. Sales says pipeline conversion is 24 percent. Finance says it is 19. Both numbers came from the same…
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Guardrails for Analytics Agents That Do More Than Answer Questions
An agent monitoring inventory levels notices a stockout risk, drafts a purchase order, and submits it. The logic was sound. The signal it read came…
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Building Agent Telemetry Tables in Iceberg That Survive an Audit
An agent gives a customer-facing team a revenue number. Six weeks later someone asks where it came from. The application logs rolled off after 14…
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Governing Iceberg Tables Across Regions Without Three Sets of Permissions
An engineer needs to join sales data in eu-west-1 with product data in us-east-1. The sales tables live in a Polaris instance the European team runs.…
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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…
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Composable Analytics Beats Metric Catalogs
Metric catalogs tell agents what terms mean. Composable analytics tells agents how to reason with those terms safely. That is the useful lens for…
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Implementing MCP in the Lakehouse
MCP gives AI clients a standard way to call governed lakehouse tools instead of guessing how to query your data. That is the useful lens for MCP…
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SaaS Buyers Now Inspect Your Semantic Layer
Enterprise SaaS buyers increasingly want machine-readable data contracts, not only dashboards. That is the useful lens for SaaS semantic layer…
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Semantic View Autopilot in Snowflake Semantic Studio
Autopilot can draft semantic views quickly, but production semantics still need human review, tests, and governance. That is the useful lens for…