Unify
context across your data & AI systems
Collaborate
on context together across diverse teams
Activate
context in human & agentic AI experiences
Finance
Technology
Manufacturing
Media
Healthcare
Retail
See Atlan In Action
Knowledge Center
Support & Docs
We're writing down everything we learn. 980+ articles, how-to guides, and resources on data governance, context engineering, enterprise AI and more
Use the search or filters below to find what you need.
Looking for downloadable guides, blueprints, or courses?Visit Atlan's Resource Center →
Learn how to implement data observability best practices in Databricks with Lakeflow monitoring, Unity Catalog lineage, and Atlan for AI-ready data.
February 20, 2026Implement data observability for Snowflake with Snowflake Trail and proven strategies for automated monitoring, quality, real-time alerting, and governance.
February 20, 2026
Explore the top 14 data observability tools of 2026 like Monte Carlo, Metaplane & Acceldata, designed to improve data health and scale AI use cases.
February 20, 2026Learn what EU AI Act data governance requirements mean in practice: SOP template, worked examples, vendor/GPAI due diligence, evidence packs, and monitoring.
February 20, 2026Learn how to document data access controls for audits with steps and templates to prove least-privilege access, pass reviews, and reduce risk.
February 20, 2026Learn how to keep a business glossary up to date with owners, workflows, automation, and review cycles so your data terms stay accurate and trusted.
February 20, 2026Learn how to diagnose and reduce data dashboard sprawl with governance models, lifecycle policies, and KPIs for adoption, trust, and BI cost.
February 20, 2026Learn how data lineage supports SOX 404 and ICFR by mapping financial data end-to-end, linking controls to transformations, and simplifying audit evidence, testing, and change impact analysis.
February 20, 2026Learn how to align data governance with enterprise risk using risk-to-data mapping, reusable controls, KRIs/KPIs, and actionable frameworks for truly auditable, value-driven governance.
February 19, 2026AI raises the cost of misalignment while increasing the demand for speed and autonomy. Learn how centralized, federated, and hub-and-spoke data team models compare—and how to choose what to centralize vs. federate in the AI era.
February 19, 2026Most data teams document lineage but never operationalize it. Learn the 4-stage data lineage maturity framework and how to apply it to your business.
February 19, 2026
Data mesh decentralizes ownership across domains while data fabric centralizes integration with AI automation. Compare them and see when to use each.
February 18, 2026Learn how data quality rules validate data accuracy, consistency, and completeness. Includes rule types, practical examples, and best practices for implementation in 2026.
February 18, 2026Open source data catalogs are free tools to discover, document, and manage metadata. Top 2026 tools include: DataHub, OpenMetadata, & Atlas.
February 18, 2026Master the 10 essential data governance components: framework, roles, policies, quality, catalog, security, and AI-ready strategies with Atlan.
February 17, 2026
DAMA DMBOK organizes data management into 11 knowledge areas with data governance at the center. Learn benefits, implementation, & more with Atlan.
February 13, 2026
Explore Gartner’s latest research on data catalogs and metadata platforms, and see what it means for AI readiness and enterprise vendor decisions.
February 13, 2026Learn how data teams measure the impact of data quality issues using business and engineering metrics, scorecards, and repeatable formulas.
February 13, 2026What Is GraphRAG? Learn how its architecture and graph components work, GraphRAG vs RAG differences, and real-world use cases for more reliable RAG and agents.
February 13, 2026Learn how data contracts vs business glossary compare, when to use each, and how they work together to improve data quality, ownership, and governance.
February 12, 2026Understand the critical differences between data governance vs AI governance. Learn how they integrate to manage risk, compliance, and scale AI initiatives in 2026.
February 12, 2026Learn how to implement enterprise context layers for AI systems with proven strategies. Includes architecture, governance, lifecycle management, and real examples from Workday and Mastercard.
February 12, 2026Compare knowledge graphs vs. RAG for AI systems, and explore how GraphRAG combines both approaches for optimal results.
February 12, 2026Complete guide to Databricks data lineage in Unity Catalog. Learn automatic tracking methods, system tables, APIs, and cross-system lineage management.
February 11, 2026
