Articles & Talks

Overviews

• Tech Deep Dive: DataHub Metadata Service Authentication and video
• Data in Context: Lineage Explorer in DataHub
• DataHub Basics — Users, Groups, & Authentication 101
• DataHub Basics: Lineage 101

From the DataHub Blog

Essential reading for modern data teams and reliable AI agents:

• Context Management Is the Missing Piece in the Agentic AI Puzzle - Why context management is essential for deploying reliable AI agents at scale
• Data Lineage: What It Is and Why It Matters - Understanding the map of how data flows through your organization
• What is Metadata Management? - A comprehensive guide for enterprise data leaders

Explore all posts on the DataHub blog.

Best Practices

• Tags and Terms: Two Powerful DataHub Features, Used in Two Different Scenarios
• Best Practices from the Field - Real-world metadata strategies from teams at Grab, Slack, and Checkout.com who manage data at scale
• Data Contracts: How to Use Them - Practical guide to implementing data contracts between producers and consumers for quality and accountability

Case Studies

• How Block Powers AI Agents with DataHub - Scaling data governance and AI operations across 50+ platforms using MCP
• Optum: Data Mesh via DataHub
• Enabling Data Discovery in a Data Mesh: The Saxo Journey
• DataHub @ Grofers Case Study
• DataHub @ LinkedIn: Extending the OSS UI
• DataHub @ hipages Case Study: Oct 29 2021
• DataHub @ Adevinta Case Study: Sept 24 2021 Community Town Hall
• DataHub at Bizzy (Case Study): Aug 27 2021 Community Meeting

Related Articles

• DataHub: A Generalized Metadata Search & Discovery Tool
• DataHub: Popular Metadata Architectures Explained
• Open sourcing DataHub: LinkedIn’s metadata search and discovery platform
• Data Catalogue — Knowing your data
• LinkedIn DataHub Application Architecture Quick Understanding
• LinkIn DataHub Metadata Ingestion Scripts Unofficical Guide
• DataHub - RPubs
• A Dive Into Metadata Hubs
• How LinkedIn, Uber, Lyft, Airbnb and Netflix are Solving Data Management and Discovery for Machine Learning Solutions
• Data Discovery in 2020
• Work-Bench Snapshot: The Evolution of Data Discovery & Catalog
• In-house Data Discovery platforms
• A Data Engineer’s Perspective On Data Democratization
• 25 Hot New Data Tools and What They DON’T Do
• 4 Data Trends to Watch in 2020
• Application Performance Monitor and Distributed Tracing with Apache SkyWalking in DataHub
• Emerging Architectures for Modern Data Infrastructure
• Almost Everything You Need To Know on Data Discovery Platforms
• Creating Notebook-based Dynamic Dashboards

Talks & Presentations

• DataHub: Powering LinkedIn's Metadata @ Budapest Data Forum 2020
• Taming the Data Beast Using DataHub @ Data Engineering Melbourne Meetup November 2020
• Metadata Management And Integration At LinkedIn With DataHub @ Data Engineering Podcast
• Bringing The Power Of The Real-Time Metadata Graph To Everyone @ Data Engineering Podcast
• The evolution of metadata: LinkedIn’s story @ Strata Data Conference 2019
• Journey of metadata at LinkedIn @ Crunch Data Conference 2019
• Driving DataOps Culture with DataHub @ DataOps Unleashed 2021
• DataHub Journey with Expedia Group
• Saxo Bank's Data Workbench
• Data Discoverability at SpotHero

Non-English

• LinkedIn 元数据之旅的最新进展—Data Hub
• 数据治理篇: 元数据之 datahub-概述
• DataHub——实时数据治理平台
• 数据治理工具-元数据管理
• 元数据管理框架的独舞
• 【DataHub】DataHub QuickStart
• 数据治理工具调研之 DataHub
• LinkedIn gibt die Datenplattform DataHub als Open Source frei
• Linkedin bringt Open-Source-DataHub
• DataHub: универсальный инструмент поиска и обнаружения метаданных
• DataHub с открытым исходным кодом: платформа поиска и обнаружения метаданных от LinkedIn