
How Does Databricks Unity Catalog Work?
How Databricks Unity Catalog works: the privileges a table read needs, row filters and ABAC, external engine access, lineage, and what changed in 2026.
November 3, 2026We're writing down everything we learn. 1827+ articles, how-to guides, and resources on data governance, context engineering, enterprise AI and more
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How Databricks Unity Catalog works: the privileges a table read needs, row filters and ABAC, external engine access, lineage, and what changed in 2026.
November 3, 2026
Ground LangGraph and LangChain agents with a context layer: five lookups plus server-side access scope, the langchain[mcp] setup and a read-only MCP path.
November 3, 2026
Knowledge graph vs RAG for insurance claims adjudication: which claims questions each answers, how to pick the policy version, and where access leaks.
November 3, 2026
Connect AI agents to Power BI semantic models: pick Fabric IQ MCP or the remote Consumption endpoint, paste the config, sign in, and fix common errors.
November 3, 2026
Context layer vs ontology: an ontology defines what business concepts mean; a context layer binds that meaning to real assets and serves it to AI agents.
November 3, 2026
Do you need a semantic layer? Count where each metric is computed, with AI agents counted as consumers. Three verdicts, the flip cases, and the first step.
November 3, 2026
What open-sourcing MetricFlow under Apache 2.0 changes for dbt Semantic Layer users: the old BSL terms, what stays plan-gated, and a version check.
November 3, 2026
What is a semantic model? See what it holds, a worked example in the open Apache Ossie spec, who should own each definition, and a 12-point readiness check.
November 3, 2026
AI-ready data for clinical trials, mapped clause by clause to ICH E6(R3), CDISC, OMOP and FAIR, with the context agents need and a 13-question readiness check.
November 2, 2026
What is AWS Context? AWS announced the knowledge graph service for AI agents on June 17, 2026. How it works, its status, and how it fits with Glue and Bedrock.
November 2, 2026
How does a context layer reduce hallucinations? The four controls, which hallucination types each one stops, what each leaves behind, and how to test them.
November 2, 2026
Learn what entity resolution is, how matching works, and why owl:sameAs, survivorship, and provenance decide what an ontology tells your AI agents.
November 2, 2026
Data governance platform evaluation criteria as 22 tests in 8 groups, each with how to run it, a good answer, a red flag, and a 0-3 evidence score.
November 2, 2026
Embedded data governance runs each control in the ticket, PR, pipeline, BI tool, SQL editor, chat or agent call. When to gate, nudge or log it.
November 2, 2026
Metadata management examples from Uber, Spotify, Shopify, Meta, US agencies and CME Group: what each managed, how, and the figures each published.
November 2, 2026
How to prepare Snowflake data for AI: a seven-step run order with SQL for tags, masking, DMFs, semantic views and Cortex Search, plus fixes for wrong answers.
November 2, 2026
DSPM vs data catalog: DSPM finds sensitive data and who can reach it; a catalog records meaning, owner and certification. When AI agents need both.
November 1, 2026
DataHub alternatives on four paths: DataHub Cloud, open source, managed catalogs and platform-native options, compared on license, coverage and MCP support.
November 1, 2026
How to package data products in a data catalog in seven steps: scope, output ports, documentation, contracts, owners, a pilot release and an AI agent test.
November 1, 2026
What is a data governance operating model? Learn its decision rights, roles, processes and model types, and how to make its decisions readable by AI agents.
November 1, 2026
Knowledge graph use cases for fraud detection and financial crime, from fraud rings and money mules to beneficial ownership, and what regulators expect.
November 1, 2026
Ontology vs data model: a data model stores and validates records in one system; an ontology declares what they mean across systems. When agents need both.
November 1, 2026
Prepare data for natural language analytics in 8 steps: scope real questions, shape tables, define metrics, add synonyms and example SQL, then test.
November 1, 2026
Run data access requests in ServiceNow from a data catalog: the catalog item, requested item, flow, approvals and state sync that close the loop.
November 1, 2026