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EU AI Act data governance requirements
Learn what EU AI Act data governance requirements mean in practice: SOP template, worked examples, vendor/GPAI due diligence, evidence packs, and monitoring.
February 20, 2026Articles & tutorials
Learn with Atlan
We're writing down everything we learn. 980+ articles, how-to guides, and resources on data governance, context engineering, enterprise AI and more
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How-to
How to Keep a Business Glossary Up to Date
Learn 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, 2026reduce-data-dashboard-sprawl-governance-lifecycle-kpis
Reduce Data Dashboard Sprawl: Governance & Lifecycle KPIs
Learn how to diagnose and reduce data dashboard sprawl with governance models, lifecycle policies, and KPIs for adoption, trust, and BI cost.
February 20, 2026SOX Compliance
Using Data Lineage for SOX Compliance
Learn 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, 2026Data Quality
Build Data Quality Rules for AI Success: Types, Examples, and 2026 Implementation
Learn how data quality rules validate data accuracy, consistency, and completeness. Includes rule types, practical examples, and best practices for implementation in 2026.
February 18, 2026AI Readiness
How Do You Implement an Enterprise Context Layer for AI?
Learn 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, 2026Data Quality
Data Quality Software: Pick The Best Option For Your Business in 2026
Explore data quality software features, key capabilities, and selection criteria. Learn how tools automate validation, profiling, and monitoring to ensure reliable data.
February 11, 2026Metadata Management
Metadata Lakehouse vs Data Catalog: Architecture Guide 2026
Compare metadata lakehouses and data catalogs. Learn key differences in architecture, access patterns, vendor lock-in, and when to use each approach.
February 11, 2026
AI Readiness
OpenAI Frontier Needs Shared Business Context Most Companies Don't Have
OpenAI Frontier needs a shared business context most companies lack. Learn the three infrastructure gaps and a readiness audit for you to use.
February 11, 2026Data & AI
Top 15 Drag & Drop Agent Builder Tools for 2026
Compare 15 drag-and-drop agent builder tools for 2026. Learn evaluation criteria, common use cases, and how governed context with Atlan helps agents scale safely.
February 10, 2026
General
Atlan's Responsible Disclosure Program
This page describes the process of responsible disclosure of vulnerabilities identified by external sources/security researchers.
February 5, 2026
AI Readiness
Semantic Layers Failed. Context Graphs Are Next… Unless We Get It Right
Semantic layers failed. What does that mean for context graphs? Learn the 4 principles needed for survival, and why context graphs might be different after all.
February 4, 2026
AI Readiness
Just as the Data Warehouse Defined BI, the Context Layer Will Define AI
Discover why context is the missing layer between data and trustworthy AI. This primer breaks down how the context layer grounds AI in business meaning, governance, and trust.
February 3, 2026Data & AI
Self-service Analytics vs Centralized BI: How to Choose the Right Model
Learn how self-service analytics vs centralized BI stack up, with tradeoffs, decision criteria, and hybrid models for data teams using platforms like Atlan.
February 3, 2026Snowflake
Data Governance Checklist for Snowflake Migration: 7 Steps to Reduce Failure Rates by 64%
Complete this 7-step data governance checklist before Snowflake migration to reduce failure rates from 83% to under 30%. Covers RBAC, policies, lineage, and compliance across 6-12 months.
February 1, 2026Data Quality
8 Best Data Quality Tools for Modern Data Teams in 2026
Discover the best data quality tools in 2026, including Atlan, Anomalo, and Monte Carlo. Explore benefits, essential features, and use cases.
January 30, 2026AI Readiness
Ontology vs Semantic Layer: Understanding the Difference for AI-Ready Data
Understand the difference between ontologies and semantic layers for data management. Compare features, use cases, and integration approaches for AI-ready enterprises.
January 30, 2026Data & AI
Semantic Layer vs Traditional Data Marts: What to Choose
Learn the differences between a semantic layer and traditional data marts, when to use each (or both), and a practical migration path to modernize analytics.
January 29, 2026Snowflake
Snowflake Governance vs Third Party Tools: When to Use Both
Snowflake Horizon handles native governance, but 85% of enterprises need third-party tools for cross-system lineage and business context. Compare capabilities, costs, and when to use both approaches for scalable data governance.
January 29, 2026Data Quality
Data Quality Alerts: Complete Guide to Setup and Best Practices
Learn how to set up data quality alerts, avoid alert fatigue, and route notifications effectively. Includes dbt, Snowflake setup, and lineage integration.
January 28, 2026Data & AI
RDF vs OWL: Definition, purpose, features, differences
Compare RDF vs OWL, understand key concepts, reasoning capabilities and use cases so you can choose the right standard for your knowledge graphs.
January 27, 2026
AI & ML
Context Graphs Are a Trillion-Dollar Opportunity. But Who Actually Captures It?
Context graphs are AI's trillion-dollar opportunity. Discover why vertical agents can't capture it alone, and how universal context platforms will win.
January 15, 2026
Metadata Management
How We Proved Metadata Delivers 38% Better AI Accuracy
Rich semantic metadata improves AI-generated SQL accuracy by at least 38%. But there’s a catch: not all metadata is created equal. Learn more.
January 14, 2026
Metadata Management
What Is Metadata Sharing & How To Implement It in 2026?
Learn how metadata sharing enables interoperability across systems. Explore FAIR, bidirectional sync, implementation, and real outcomes from leading organizations.
January 6, 2026
