DataHub

Your next PR could change the way 14,000+ data professionals work. Join the open source DataHub community and start contributing: 🛠️ Code 💡 Ideas 📣 Feedback Make your mark → https://hubs.la/Q03R4l3f0 #OpenSource #OSS #DataCommunity #DataEngineering

Team DataHub is heading to Amsterdam 🇳🇱 We're a proud sponsor of the Databricks Data + AI World Tour on November 6, and we'd love to see you at our booth in the Expo. Come talk to us about: - Cutting data warehouse costs by surfacing unused and duplicate datasets - Accelerating data work with AI-powered metadata automation - Building on our API-first, open source architecture - Our native Unity Catalog integration for seamless Databricks workflows November 6 | Amsterdam | Databricks Data + AI World Tour Stop by and say hello! #Databricks #DataHub #DataAIWorldTour

1,500+ data and AI leaders joined us at CONTEXT yesterday. A clear pattern emerged across all sessions: Organizations winning with AI aren't just building better models. They're building better context infrastructure. Here's what that looks like in practice: → Context management is the new category. Shirshanka Das (DataHub Co-Founder & CTO) predicted it will become the most talked about term in AI within a year. It's context engineering scaled across your entire organization, not siloed per application. → Trust is consistency over time. Jeff Weiner (Executive Chairman of LinkedIn and Founding Partner of Next Play Ventures) explained how this applies to people, data, pipelines, and AI agents. Data leaders finally have board-level mandates, but seizing this moment requires translating technical capabilities into business outcomes. → Lineage unlocks everything. Financial services data leaders demonstrated how end-to-end lineage enables both regulatory compliance and AI readiness. The same infrastructure that satisfies auditors serves future agents. → Netflix is building for both humans and agents. Their global catalog strategy solves discovery today while creating the context foundation AI agents will need tomorrow. → Apple deploys agents as digital stewards. Their agentic workflows automate metadata enrichment, anomaly detection, and quality rules while maintaining human oversight through guardrails and feedback loops. The foundations you build today determine whether your AI initiatives scale or stall. Watch how industry leaders are preparing for the agentic era. All sessions now available on demand: https://hubs.la/Q03QXT_j0 #CONTEXT2025 #DataGovernance #EnterpriseAI #AgenticAI

That's a wrap on #CONTEXT2025 🎬🎉 Data and AI leaders from around the globe joined us today to hear from Apple, Netflix, Block, Robinhood, Jeff Weiner, Alex Pall, DataHub's founding team, and many more. The conversations covered everything from automated governance and end-to-end lineage to context management—the category DataHub is defining for enterprise agentic AI. Thank you to everyone who tuned in, asked questions, and engaged with the content. Missed a session? All talks are now available on demand. Watch now: https://hubs.la/Q03QRvvW0 #CONTEXT2025 #DataGovernance #EnterpriseAI #AgenticAI

"I'm predicting that context engineering, which has started off as this gold rush towards making AI more reliable for application development, is going to have its management moment." Shirshanka Das (DataHub CTO & Co-Founder) just put a stake in the ground at #CONTEXT2025 His thesis: Context engineering works for individual applications. But enterprises need context management: an organization-wide capability to reliably deliver the most relevant data to AI context windows at scale. 📌 Pin the date: October 29, 2025. This is the moment DataHub defined a new category. Jump in to join the conversation live: https://hubs.la/Q03QMTmx0 #ContextManagement #EnterpriseAI #ContextEngineering

🚨We're live! #CONTEXT2025 is happening now. Join leaders from Apple, Netflix, Block, Robinhood, and more as they share how they're building the data foundation for agentic AI. Still time to jump in: https://hubs.la/Q03QKFcq0 #DataGovernance #EnterpriseAI #AgenticAI

Really excited to sit down with Jeff Weiner for a conversation at CONTEXT on October 29th. Jeff built LinkedIn into what it is today through relentlessly data-driven decision making. As data and AI leaders are finally getting called to the table on AI readiness and strategy, there's no better person to learn from about turning that opportunity into real organizational influence. We'll dig into practical strategies for building executive influence, how data shaped critical decisions at LinkedIn, why context management is the missing link for enterprise AI adoption, and how to future-proof your career in this moment. It's virtual, it's free, and we've got an incredible lineup beyond Jeff - practitioners from Apple, Netflix, Block, Robinhood and others sharing real implementation stories. (link in comments) #CONTEXT2025 #DataLeadership #AI

We're building AI systems the same way we built micro-services back in 2012. Duct-taping solutions together and calling it architecture. Every company I talk to is wrestling with the same problem: their RAG pipelines work in demos but collapse under real-world complexity. Prompt templates multiply like rabbits. Context windows get bigger, but systems don't get smarter. We're engineering our way into a mess. The issue isn't the tactics. It's that we're treating context as an implementation detail instead of what it actually is: the foundation of how AI systems understand your business. Tomorrow at #CONTEXT2025, I'm opening with a keynote that introduces a different approach: context management as a discipline. Not another framework. Not another pipeline pattern. A fundamental rethinking of how enterprises architect for AI at scale. I'll show you why context is either your bottleneck or your competitive advantage, and what the building blocks of an enterprise context platform actually look like. If you're trying to move AI from proof-of-concept to production, this is the conversation we need to have. Register for CONTEXT (free, virtual): https://lnkd.in/g8k2rsZQ #AgenticAI #ContextManagement #EnterpriseAI

#CONTEXT2025 is tomorrow! This is your last chance to register 🚨 We've assembled a speaker lineup that doesn't happen twice. Leaders from Apple, Netflix, Block, Robinhood, Foursquare, CrewAI, and other industry innovators. Plus, hear from Jeff Weiner (Executive Chairman of LinkedIn and Founding Partner of Next Play Ventures) and Alex Pall (Founder of The Chainsmokers and Mantis Venture Capital). These aren't vendor pitches. These are practitioners sharing what actually works. Tune in to see: ▪ How Apple uses AI agents to automate metadata operations at scale ▪ Netflix's vision for a unified global catalog ▪ End-to-end lineage strategies from Block and Robinhood ▪ Jeff Weiner on how data and AI leaders claim their seat at the executive table ▪ Alex Pall on creativity and AI, plus advice for early-stage founders And so much more. Tomorrow | 8 AM PST / 11 AM EST | Virtual See you there? 👀 🔗 Free registration: https://hubs.la/Q03QvydW0 #DataGovernance #EnterpriseAI #AgenticAI

Banks that treat regulatory compliance as a checklist exercise spend fortunes on high-stress efforts to piece together reports for auditors. Banks that treat it as infrastructure? The benefits just keep flowing in. Make the regulation is work for you! Tomorrow at CONTEXT, I'm sitting down with two people who've navigated this journey firsthand: Sid Narayan, Head of Data Governance at Valley Bank, and Ravi Josyula, Head of Enterprise Data at Webster Bank. We're getting tactical: What does BCBS 239 mean for banks? How do you decide between domain-level, dataset-level, or element-level lineage? What does it actually take to operationalize compliance into workflows that auditors accept and your teams can sustain? And how do you build this foundation in a way that unlocks your next moves, not just satisfies the latest regulatory requirement? If you're in Financial Services and dealing with these questions, this is a conversation worth your time. Register for CONTEXT (free, virtual): https://lnkd.in/egqFryiv #CONTEXT2025 #BCBS239 #FinServ #DataGovernance