Blog

• What Shipping an AI Agent to 16,000 People Taught Me About Reviewing One (September 17, 2026)
• Context Engineering for AI Agents: Why the Hard Part Isn't the Context Window (September 16, 2026)
• What Is a Business Context Layer? What It Holds and What It Changes (September 15, 2026)
• What Is an Enterprise Data Catalog (and When Do You Actually Need One)? (September 15, 2026)
• Data Lineage in Data Mesh: The Mechanism That Keeps Domains Connected (September 15, 2026)
• Enhancing Agent Governance with DataHub and SecuPi: From Trusted Context to Runtime Control (September 10, 2026)
• Meet the Winners of Build with DataHub: The Agent Hackathon (September 10, 2026)
• Introducing DataHub Cloud v2.2 (September 9, 2026)
• How DataHub Integrates with Modern Data Tech Stacks (September 2, 2026)
• The Benefits of a Unified Data Platform for Data Discovery and Governance (September 1, 2026)
• Real Stories in Production: July 2026 Town Hall Highlights (September 1, 2026)
• What Is Interoperable Context? Why Portability Is the Real Test (August 28, 2026)
• Context Management: The Foundation for Trustworthy AI Agents (August 19, 2026)
• AI-Ready Data: What It Is and the 5 Pillars You Need to Know (August 18, 2026)
• Why Context Preparation Is Important (and Not Only for Agents) (August 18, 2026)
• What Is Data Interoperability? Why Connectors Aren't Enough (August 7, 2026)
• Why Data Governance Is Important: The Benefits, the Risks, and What to Get Right Before AI (August 3, 2026)
• Introducing DataHub Cloud v2.1 (August 3, 2026)
• DataHub Now Speaks Your Language: Introducing Multi-Language Support (August 3, 2026)
• Agents That Get it Right: How FIS Grounds Databricks Genie in Enterprise Context with DataHub (July 29, 2026)
• Five Modern Data Catalog Features That Get You AI-Ready (July 28, 2026)
• What Is Databricks Genie One, and Where Does It Fit in Your Stack? (July 28, 2026)
• What Is Snowflake Cortex Sense, and Where Does It Fit in Your Stack? (July 28, 2026)
• Inside the Context Platform: June 2026 Town Hall Highlights (July 24, 2026)
• The Best Context Management Platforms for AI Agents in 2026 (July 15, 2026)
• Azure Data Lineage That Doesn't Stop at the Azure Boundary (July 13, 2026)
• Data Lineage in ETL: What It Takes to Be Useful in Production (July 10, 2026)
• Data Lineage vs. Data Observability: How They Differ and Why You Need Both (July 10, 2026)
• Databricks Data Lineage: From Unity Catalog to Your Entire Stack (July 10, 2026)
• Build with DataHub: The Agent Hackathon is Open Now (July 9, 2026)
• BigQuery Data Lineage: From the Google Cloud Console to Your Entire Stack (July 8, 2026)
• AWS Data Lineage: From Native Capture to Your Entire Stack (July 8, 2026)
• Snowflake Data Lineage: What Native Tools Track and Where They Stop (July 7, 2026)
• Why AI Agents Need Human-Validated Semantic Context (July 6, 2026)
• Data Pipeline Lineage: Seeing Inside Your Pipelines, Not Just Around ThemData Pipeline Lineage (July 6, 2026)
• No-Code Automation for Metadata Enrichment: How Modern Catalogs Stay Current at Scale (July 6, 2026)
• Introducing DataHub Cloud 2.0 (June 30, 2026)
• BCBS 239 Data Lineage: Why Compliance and AI Readiness Are the Same Investment (June 29, 2026)
• Data Lineage vs. Data Provenance: What's the Difference? (June 29, 2026)
• Data Lineage: What It Is and Why It Matters (June 29, 2026)
• Data Lineage Mapping: Why Manual Maps Fail at the Moment You Need Them (June 26, 2026)
• Data Lineage for Compliance: From Audit Prep to Operational Evidence (June 26, 2026)
• What Is Data Lineage in Data Governance? (June 26, 2026)
• ​Context to Action: May 2026 Town Hall Highlights (June 21, 2026)
• Data Pipeline Optimization: The Three Levers Compute Tuning Can't Touch (June 16, 2026)
• Context Layer Components for AI Agents: What It Takes to Build Each One (June 15, 2026)
• Data Lineage Examples Every Data Team Runs Into (June 15, 2026)
• End-to-End Data Lineage: What the Term Means and What It Actually Takes (June 15, 2026)
• Open Source Data Lineage: Standards, Tools, and When You've Outgrown Them (June 10, 2026)
• Data Lineage vs Data Catalog: Two Questions, One Metadata Graph (June 10, 2026)
• What Is Metadata Lineage? (And Why It's Not Quite the Same as Data Lineage) (June 10, 2026)
• Context Layer for Snowflake: Extending Trustworthy Context Beyond the Warehouse (June 9, 2026)
• The Benefits of Data Lineage: From Table to Column to Unified Platform (June 9, 2026)
• DataHub and ClickHouse (June 9, 2026)
• Data Lineage Tools in 2026: Where Lineage Lives in Your Stack (June 3, 2026)
• Data Lineage for Machine Learning: Why Reliable ML Lives Upstream (June 1, 2026)
• Introducing DataHub Cloud v1.1.0 (May 28, 2026)
• Announcing the DataHub Context Platform (May 28, 2026)
• Column-Level Lineage: What It Is and Why Cross-Platform Coverage Matters (May 20, 2026)
• SQL Lineage: How DataHub Extracts Column-Level Lineage from Queries (May 15, 2026)
• AI Agent Onboarding: The Missing Discipline Behind Agents That Actually Work (May 14, 2026)
• ​Trusted Context for Talk-to-Data: April 2026 Town Hall Highlights (May 11, 2026)
• Context Ownership: A Shared Operating Model (May 11, 2026)
• How to Talk to Your Data (and Actually Get the Right Answer) (May 8, 2026)
• How to Build a Context Layer for AI: A Practitioner's Guide (May 6, 2026)
• AI Agent Memory: Why Memory Quality Is a Data Problem (Not an Architecture Problem) (May 6, 2026)
• Continuous Context: Why Your AI Documentation Is Already Lying to You (May 5, 2026)
• Context Platform ROI: The Real Cost (and the Hidden One You're Already Paying) (May 5, 2026)
• Data Context Inventory: The Prerequisite Most AI Projects Skip (May 4, 2026)
• The Five Common Context Problems Data Teams Face (and How to Solve Them) (May 4, 2026)
• Context Preparation vs. Data Preparation: Why Agentic AI Needs Both (May 4, 2026)
• Business Context vs. Technical Metadata: Why the Gap Breaks AI Agents (May 1, 2026)
• AI-Ready Context: Why Your Agents Don't Need More Data, They Need to Understand It (May 1, 2026)
• Context Platform vs. Data Catalog: What's the Difference? (April 30, 2026)
• Introducing DataHub Analytics Agent (April 30, 2026)
• Ontology vs. Semantic Layer: What Each Does, Where They Overlap, and What's Actually Missing (April 30, 2026)
• Context Graph vs Knowledge Graph: Same Shape, Different Scope (April 29, 2026)
• What Is a Metadata Knowledge Graph? A DataHub Definition (April 29, 2026)
• How to Implement an Enterprise Context Layer: A Phased Guide for Real Data Estates (April 29, 2026)
• What Is a Context Catalog? Why Data Catalogs Aren't Enough for the AI Era (April 28, 2026)
• Context-Aware AI Agents: Why Most Aren't (and What It Takes to Build One That Is) (April 28, 2026)
• The Glossary Is The Start: Building the Context Layer That Makes AI Work in Financial Services (April 28, 2026)
• The Context Layer for AI: What Enterprises Get Wrong (April 27, 2026)
• Context Layer vs Semantic Layer: What the Debate Gets Right and What It Misses (April 27, 2026)
• RAG vs Context Management: Why You’re Asking the Wrong Question (April 27, 2026)
• How to Use the DataHub Cloud Value Estimator (April 24, 2026)
• Launching our Connector to Google Cloud Knowledge Catalog (April 22, 2026)
• DataHub Now Integrates with Google Cloud Lakehouse Iceberg REST Catalog (April 21, 2026)
• What Is a Context Engineer (and Is It Your Next Role)? (April 20, 2026)
• Context Engineering vs. Prompt Engineering (April 20, 2026)
• Context Engineering vs. Context Management (April 16, 2026)
• Context Window Optimization (April 16, 2026)
• Context Management for Data Analysts (April 15, 2026)
• ​Agents, Apps & the Art of Extension: March 2026 Town Hall Highlights (April 15, 2026)
• What Is a Context Window? (April 13, 2026)
• Context Management Strategies That Actually Scale (April 10, 2026)
• Context Management Tools in 2026 (April 10, 2026)
• What Is a Context Graph and Why Does It Matter for AI Agents? (April 10, 2026)
• AI-Generated Documentation and Context Propagation (April 10, 2026)
• Supercharging Snowflake Agents with DataHub Context (April 7, 2026)
• Building Autonomous Data Agents with DataHub Agent Context Kit (April 7, 2026)
• A Practical Guide to MCP Context Management (April 2, 2026)
• Introducing DataHub Open Source Skills Registry (April 2, 2026)
• What Are Data Contracts? A Practical Guide to Getting Started (March 31, 2026)
• DataHub: The Semantic Backbone of Enterprise Data Analytics Agents (March 27, 2026)
• Ask DataHub (March 26, 2026)
• Data Products: From Concept to Implementation (March 26, 2026)
• Introducing DataHub Cloud v0.3.17 (March 24, 2026)
• Part 2: How to Implement Data Mesh (Without Replacing One Bottleneck With Another) (March 23, 2026)
• Part 1: What Is Data Mesh? Architecture, Principles, and Why It Matters for AI (March 20, 2026)
• How Foursquare Uses DataHub for Geospatial Dataset Discovery (March 17, 2026)
• Part 2: How DataHub MCP Closes the Context Gap (March 16, 2026)
• Part 1: What Is an MCP Server? Model Context Protocol Explained (March 16, 2026)
• Accelerating Connector Development with AI Skills (March 12, 2026)
• The Data Engineer's Guide to Context Engineering (March 9, 2026)
• Powering AI Agents with Context: DataHub January 2026 Town Hall Highlights (February 13, 2026)
• What Is an AI Data Catalog? (February 3, 2026)
• What is AI Data Management? (January 27, 2026)
• What Is a Data Catalog? (January 26, 2026)
• What is Data Discovery? (January 23, 2026)
• DataHub Cloud Updates (January 15, 2026)
• How to Implement Data Governance Without Slowing Down Your Team (January 9, 2026)
• Data Governance: Building Production-Ready Foundations for AI and Analytics (December 23, 2025)
• Building AI Agents You'd Trust in Production: December 2025 Town Hall Highlights (December 23, 2025)
• What is Data Observability? A Complete Guide for Data Teams (December 19, 2025)
• What is Metadata Management? A Guide for Enterprise Data Leaders (December 18, 2025)
• Data Governance in Financial Services: How to Turn Compliance Into Your AI Advantage (November 17, 2025)
• DataHub Cloud Updates November, 2025 (November 13, 2025)
• CONTEXT 2025 Highlights: How Industry Leaders Are Preparing for Enterprise AI Agents  (October 31, 2025)
• How DataHub Integrates with Snowflake Horizon to Unify Metadata Across Your Entire Data Stack (October 20, 2025)
• Data Observability Made Smarter: What’s New in DataHub Observability (September 24, 2025)
• Introducing DataHub Cloud v0.3.14 (September 18, 2025)
• Inside the Demandbase Migration to DataHub Iceberg REST Catalog: Q&A with a Data Systems Leader (September 4, 2025)
• DataHub Town Hall Recap: August 2025 Highlights (August 26, 2025)
• Introducing DataHub Cloud v0.3.13 (July 30, 2025)
• Highlights from DataHub’s June 2025 Town Hall (July 1, 2025)
• Introducing DataHub Cloud v0.3.12 (June 23, 2025)
• How DataHub's MCP Server Transforms AI-Powered Data Operations (June 3, 2025)
• Introducing DataHub Cloud v0.3.11 (May 23, 2025)
• Unlocking the Future of AI and Data: DataHub's $35M Series B Journey (May 20, 2025)
• DataHub 1.0: A New UX Built for Scale, Clarity, and the Community (April 16, 2025)
• What’s Next for DataHub? (March 24, 2025)
• Automating Propagations with DataHub and DataHub-Tools (March 21, 2025)
• DataHub 1.0 Is Here (February 18, 2025)
• DataHub Actions: Announcing Support for DataHub Cloud (January 22, 2025)
• 2024 in Review; 2025 in View: Metadata Management Trends Shaping the Future of AI and Data Governance (December 17, 2024)
• Enabling Data Governance at Scale — What’s Inside DataHub Cloud v0.3.7 (December 4, 2024)
• Introducing DataHub Integration with Cassandra (November 19, 2024)
• Introducing DataHub Integration with Dremio (November 19, 2024)
• ICYMI: Highlights from the Metadata & AI Summit 2024 (November 14, 2024)
• Metadata in Action: Tips and Tricks from the Field (November 14, 2024)
• Understanding DataHub’s Role as the Control Plane for Data (October 15, 2024)
• The AI Stack — and the evolution of the Metadata Platform (October 10, 2024)
• From the Open Source Data Summit: Key Takeaways on Data Catalog Evolution (October 2, 2024)
• Empowering Every Data User: Introducing the New DataHub Cloud Experience (September 24, 2024)
• Understanding DataHub’s Ingestion Transformers: A Flexible Approach to Metadata Customization (September 13, 2024)
• DDL Ep 05: AI and Data — The LinkedIn Story (September 11, 2024)
• Data Quality Belongs in the Data Catalog (September 6, 2024)
• How We Implemented Internationalization in DataHub (August 20, 2024)
• How to Make Data Governance Work in the AI Age (August 13, 2024)
• Building Data Access at Scale: MediaMarktSaturn’s Journey with DataHub (August 12, 2024)
• DDL Ep 04: Data Mesh Journeys — Lessons from the Field (July 18, 2024)
• DDL Ep 03: Fast-Tracking Business Impact from Data and Embracing Modern Governance (June 4, 2024)
• DDL Ep 02: Decoding AI and the Role of Metadata (May 31, 2024)
• DDL Ep 01: To Data Catalog or NOT to Catalog? (May 3, 2024)
• Governing the Kafka Firehose (April 25, 2024)
• When Data Quality Fires Break Out, You're Always First to Know with Acryl Observe (April 23, 2024)
• How KPN Uses DataHub to Implement Data Mesh at Scale (April 18, 2024)
• Five Signs You Need a Unified Data Observability Solution (April 17, 2024)
• Data Quality Should be Part of the Data Catalog - Introducing Acryl Observe (April 16, 2024)
• Metadathon - Why MetaData Matters (April 16, 2024)
• Hack Your Way to Data Quality with a "Metadatathon" (March 19, 2024)
• Metadata’s Role in Sustainable, Cost-Effective AI Development (March 18, 2024)
• DataHub Cloud for ML and AI Practitioners (January 31, 2024)
• Making Data Relevant Again (January 29, 2024)
• Detecting Deep Data Quality Issues with Column-Level Assertions (December 11, 2023)
• Acryl Cloud For Data Leaders and Practitioners (December 11, 2023)
• Snowflake and Acryl Data: Better Together for Our Users (October 26, 2023)
• Join us for Hacktoberfest 2023: Contribute to DataHub and Win Big!!! (October 13, 2023)
• Product Update - Detecting Unexpected Table Volume Changes with DataHub Observe (October 2, 2023)
• Simplifying Data Monitoring & Management with Subscriptions and Notifications with DataHub (September 20, 2023)
• Data Contracts in DataHub: Combining Verifiability with Holistic Data Management (September 19, 2023)
• Preventing Data Freshness Problems with Acryl Observe (September 11, 2023)
• Simpler, Smarter, Smoother: Updates to the DataHub Business Glossary (June 29, 2023)
• A Control Plane for Data, and
a New Era for Acryl (June 13, 2023)
• DataHub Community Updates: March’23 Rundown (April 7, 2023)
• Humans of DataHub: Roko Gudic (April 6, 2023)
• DataHub Community Updates: The Feb’23 Low-Down (March 7, 2023)
• Humans of DataHub: Vincent Koc (March 5, 2023)
• Humans of DataHub: Pablo Ochoa (February 9, 2023)
• DataHub Community: Jan’23 Rundown (February 1, 2023)
• DataHub to Kickstart Spring (data) Cleaning (January 23, 2023)
• Announcing: DataHub Data Practitioners Guild (January 17, 2023)
• DataHub 2022 in Review (January 6, 2023)
• The Stripe Story: Beating data pipeline observability and timeliness concerns with DataHub (December 22, 2022)
• Data Contracts Wrapped 🎁 2022 (December 16, 2022)
• Humans of DataHub: Mert Tunç (December 12, 2022)
• Metadata Day Round-Up: 5 ways to empower data producers (Warning: Data Contracts ahead!) (November 28, 2022)
• Takeaways from the Acryl Data Offsite (November 14, 2022)
• The 3 Must-Haves of Metadata Management — Part 2 (October 29, 2022)
• Humans of DataHub: Atul Saurav (October 21, 2022)
• It’s HERE! Say Hello to Column-Level Lineage in DataHub (October 21, 2022)
• Etsy’s DataHub Adoption Journey (October 19, 2022)
• Humans of DataHub: Mohamad Amzar (October 14, 2022)
• Metadata Day Round-Up: Insights and Ideas for Implementing Data Governance (September 28, 2022)
• Humans of DataHub: Mike Linthe (September 22, 2022)
• Metadata Day Round-Up: 4 Principles That Are Driving Modern Data Governance (September 13, 2022)
• Humans of DataHub: Patrick Franco Braz (September 9, 2022)
• DataHub Summer’22 Rundown (September 7, 2022)
• DataHub Workflows for Data Platform & Governance Leads (July 26, 2022)
• DataHub 🤝 dbt Tests (July 22, 2022)
• Using DataHub for ML Development (July 19, 2022)
• Metadata Analytics from DataHub (July 15, 2022)
• Six months with Humans of DataHub (July 8, 2022)
• The DataHub Community is Fire (June 17, 2022)
• Harnessing the Power of Data Lineage with DataHub (June 13, 2022)
• Humans of DataHub: Harvey Li (June 10, 2022)
• Using DataHub for Search & Discovery (June 8, 2022)
• Humans of DataHub: Kartik Darapuneni (May 20, 2022)
• Managing PII in DataHub: A Practitioner’s Guide (May 16, 2022)
• Humans of DataHub: Sergio Gómez Villamor (May 6, 2022)
• Humans of DataHub: Hyejin Yoon (April 28, 2022)
• Humans of DataHub: Liu Xianglong (April 25, 2022)
• Humans of DataHub: Steven Po (April 22, 2022)
• Release update! Lineage Vis Update, dbt meta, Data Freshness Indicator, & new Java Library (April 11, 2022)
• Humans of DataHub: Arun Vasudevan (March 11, 2022)
• Dependency Impact Analysis, Data Validation Outcomes, and MORE! (March 8, 2022)
• Humans of DataHub: Fredrik Sannholm (February 22, 2022)
• Creating a Business Glossary and Putting it to use in DataHub (February 16, 2022)
• Humans of DataHub Abhishek Sharma (February 11, 2022)
• Just Shipped: UI-Based Ingestion, Data Domains & Containers, Tableau support, and MORE! (February 8, 2022)
• Now’s the time to tackle Data Ownership (January 24, 2022)
• Enabling Data Discovery in a Data Mesh: The Saxo Journey (July 9, 2021)
• Data in Context: Lineage Explorer in DataHub (June 11, 2021)
• cache (January 1, 2020)