Dashboards have been the default for sharing insights for decades. However, as teams scale and AI enters the picture, the cracks are beginning to show. Join @Collatedata for Data30 Session 7: From Data to Decisions — where we dig into what modern insight sharing actually looks like: 📅 June 17 | 12 PM ET 🔗 buff.ly/7PPfRci #Data30 #DataAnalytics #DataGovernance #MetadataManagement #DataTeams

Your AI probably isn’t hallucinating, but it might be reading stale context that skews answers. New from Actian: #DataSteward Agent keeps metadata, data ownership, and business definitions aligned as AI scales. It delivers trusted context to enable trusted AI. #AIAgent #MetadataManagement bit.ly/4fnVjgR

The real problem with metadata scaling isn’t metadata size. It’s mutation cost scaling with accumulated state. Once metadata evolves from static catalog state into continuously mutating indexing infrastructure, append-first architectures start becoming far more natural than rewrite-oriented systems. New blog: 🚨 Why Metadata Has to Be Mutation-Friendly medium.com/@simpsons/why-met… #Lakehouse #DataEngineering #ApacheHudi #MetadataManagement

Struggling to make AI usable with your data? Most teams lack: * Semantic context * Trust * Connectivity We’ll show how graphs metadata fix that. April 20th, live with @JessicaTalisman @eric_kavanagh @d3fmacro Register: lp.dmradio.biz/graph-for-all… #DataQuality #AI #MetadataManagement #KnowledgeGraphs

Struggling to make AI usable with your data? Most teams lack: * Semantic context * Trust * Connectivity We’ll show how graphs metadata fix that. April 20th, live with @JessicaTalisman @eric_kavanagh @d3fmacro Register: buff.ly/8cjQO7m #DataQuality #AI #MetadataManagement #KnowledgeGraphs

Smarter workflows, stronger libraries. Explore how LibOW bridges gaps between IT and library staff for faster and better workflows. Get practical tips and success stories in our new whitepaper. #MetadataManagement #AcademicLibraries Grab your copy here: ow.ly/cpwI50YF1Ct

AI initiatives stall for a simple reason: The data isn’t connected, contextualized, or trusted. That’s where knowledge graphs come in. @d3fmacro will be digging into this with @JessicaTalisman and @eric_kavanagh - how teams are actually using graphs metadata to make AI usable in production. No fluff - just real patterns and what’s working. Save your spot: buff.ly/8cjQO7m #DataQuality #KnowledgeGraphs #AIinProduction #MetadataManagement #Semantics #Ontology

AI initiatives stall for a simple reason: The data isn’t connected, contextualized, or trusted. That’s where knowledge graphs come in. @d3fmacro will be digging into this with @JessicaTalisman and @eric_kavanagh - how teams are actually using graphs metadata to make AI usable in production. No fluff - just real patterns and what’s working. Save your spot: lp.dmradio.biz/graph-for-all… #DataQuality #KnowledgeGraphs #AIinProduction #MetadataManagement #OpenMetadata #Semantics

Clarivate announces the General Availability of the Linked Open Data (LOD) Editor in Alma. Read more about the update: ow.ly/QCIL50YzjMh #MetadataManagement #LibraryTech #LibraryWorkflow

🚀 *Tired of updating data documentation one table at a time?* OpenMetadata Release 1.12 just dropped with Column Bulk Operations — and it's about to change how you think about data governance. Here's the problem: Your organization generates data from APIs, MySQL, Postgres, Oracle, and countless other sources. It all lands in S3 data warehouses, feeds into dashboards, and populates search indexes. Keeping documentation, classifications, and glossary terms consistent across all these systems? Nearly impossible. Until now. *What You'll Learn:* * How to identify and manage commonly used columns across your entire data infrastructure * How to maintain consistent governance classifications and glossary terms at scale * How lineage-level propagation ensures changes follow your data through every transformation *Demo Highlights:* * One customer found 1,770 unique columns appearing nearly *500,000 times* across their infrastructure * Filter by name, service, or metadata completeness — spot incomplete or inconsistent columns instantly * Update descriptions, PII classifications, tags, and glossary terms in ONE operation that propagates everywhere * Inconsistent data detection flags when the same column has different definitions across systems The result? A bird's eye view of your entire data ecosystem. Consistent understanding of your data — no matter what it's called or where it lives. 🎥Watch and see: buff.ly/nJhdc8Z #OpenMetadata #DataGovernance #MetadataManagement #DataCatalog #DataLineage #Release112 #DataStewardship #DataManagement #DataOps #DataEngineering

🚀 Tired of updating data documentation one table at a time? Collate Release 1.12 just dropped with Column Bulk Operations — and it's about to change how you think about data governance. Here's the problem: Your organization generates data from APIs, MySQL, Postgres, Oracle, and countless other sources. It all lands in S3 data warehouses, feeds into dashboards, and populates search indexes. Keeping documentation, classifications, and glossary terms consistent across all these systems? Nearly impossible. Until now. What You'll Learn: * How to identify and manage commonly used columns across your entire data infrastructure * How to maintain consistent governance classifications and glossary terms at scale * How lineage-level propagation ensures changes follow your data through every transformation Demo Highlights: * One customer found 1,770 unique columns appearing nearly *500,000 times* across their infrastructure * Filter by name, service, or metadata completeness — spot incomplete or inconsistent columns instantly * Update descriptions, PII classifications, tags, and glossary terms in ONE operation that propagates everywhere * Inconsistent data detection flags when the same column has different definitions across systems The result? A bird's eye view of your entire data ecosystem. Consistent understanding of your data — no matter what it's called or where it lives. 🎥Watch and see: youtu.be/yM0hXB1AQRg #OpenMetadata #DataGovernance #MetadataManagement #DataCatalog #DataLineage #Release112 #DataStewardship #DataManagement #DataOps #DataEngineering

Most orgs invest in AI first, then discover their data is too inconsistent to trust the outputs. RATP did the opposite — built the metadata foundation first. 14 data products. AI chatbots in stations. Predictive maintenance. AI that actually works. "Metadata is a strategic asset." Full story → buff.ly/rDGS6Ms #DataGovernance #EnterpriseAI #MetadataManagement @SemanticIntelligence

🚀 Collate version 1.12 has enhanced the auto-classification workflow, helping teams automatically identify PII and sensitive data. With the newly surfaced auto-classification engine, your team can now see exactly which recognizer flagged a column, what pattern it matched, how many times it matched, and how confident the system is in that tag. It supports human-in-the-loop so you can review tags to make sure they’re as expected. Key takeaways ✅Get full visibility into built-in NLP recognizers (credit card, email, and more) with the ability to enable, disable, or customize them 🎯Support for your own custom recognizers using regex patterns, keyword terms, or column name matching 💡An auditable tag feedback loop so governance teams can continuously improve classification accuracy This is what responsible data governance actually looks like -- not just automation, but automation you can understand, customize, and trust. If your team is managing sensitive data at scale, this video is worth a look. Watch the full demo youtu.be/CUsY_Zi3kJA #DataGovernance #DataCatalog #SensitiveData #PIIDetection #DataCompliance #Collate #MetadataManagement

🚀 What Exactly Is a Data OS? Most companies want to be “data‑driven,” but they’re stuck with fragmented tools, siloed datasets, and slow analytics. That’s why the industry is moving toward a Data OS (Data Operating System) — the abstraction layer that unifies your entire data ecosystem. Think of it as the operating system for your company’s data, just like Windows or macOS is for your applications. 🔍 What a Data OS Does A Data OS provides: Unified interoperability across data warehouses, lakes, BI tools, and apps. Open table format support (Iceberg / Delta / Hudi). Strong metadata, governance, and lineage. Semantic layer metrics standardization. Automated DataOps orchestration. AI/ML readiness at enterprise scale. This means faster analytics, consistent definitions, automated governance, and dramatically lower operational complexity. Real Data OS Tools Exist Today ⭐ 1. DataOS — The Modern Data Company (Enterprise-Grade) A full data product platform supporting lifecycle management and self‑service consumption. Offers a semantic layer, data quality, governance, observability, and standardized metrics. Built on Apache Iceberg for open, portable data architecture and zero vendor lock‑in. Strong market presence and recognition on Gartner Peer Insights. ⭐ 2. Gaio DataOS — All‑in‑One AI‑Driven Data Platform Replaces Databricks, PowerBI, n8n, and KNIME in a single unified platform Includes ETL, Big Data, ML, LLMs, Dashboards, and Workflow Automation Features natural language querying, predictive analytics, and AI‑powered insights Built for both technical and non‑technical teams ⭐ 3. Shakudo — A Modern Data OS to Streamline Workflows A backbone for managing and integrating complex data sources Centralized automation for reducing data engineering workload Enables real-time insight extraction and unified data operations 🧠 Why This Matters As AI becomes the default interface to data: Companies without a Data OS will struggle with inconsistencies and ops overhead Companies adopting a Data OS gain speed, trust, interoperability, and AI readiness A Data OS is not the future — it’s already here. #DataOS #ModernDataStack #DataEngineering #Lakehouse #ApacheIceberg #DataProducts #DataGovernance #AIReadyData #DataPlatforms #DataOps #MetadataManagement #OpenDataFormats #EnterpriseAI #DataActivation #DatahubHouse

Build custom AI agents. Extend them into your stack. Govern sensitive data with full explainability. What's new: • AI Studio -- no-code agent builder with personas, abilities, and permissions • AI SDK (Python, Java, TypeScript) -- invoke agents from your own workflows • Auto-classification -- surfaced NLP recognizers with false positive feedback • Data Diff -- column, row, and character-level visual table comparison • GitHub Metadata Sync -- event-based metadata versioning as YAML Watch the full v1.12 overview buff.ly/u6Odk5O #Collate #AIforData #MetadataManagement #DataGovernance #DataEngineering #DataOps

🚀 OpenMetadata v1.12 is here. Scalable custom data quality testing. Infrastructure-wide metadata consistency. Three features, one shared goal: data your team can actually trust. What's new: • AI SDK (Python, Java, TypeScript) -- invoke agents from your own workflows • Data Quality Test Library -- reusable SQL templates with dynamic variables and self-service application • Column Bulk Operations -- bird's eye view of every column, inconsistency and completeness filters, single-action bulk updates with lineage propagation Watch the full v1.12 overview: buff.ly/8PzsoZL #OpenMetadata #DataQuality #DataGovernance #MetadataManagement #DataEngineering #DataOps

Discover how Library Open Workflows empowers librarians at @bsb_muenchen, @SacCityCollege and at @universityofky. #MetadataManagement #AcademicLibraries Download the whitepaper now: ow.ly/55PH50YcJsJ

Pipeline visibility shouldn't require jumping between multiple tools and views. Collate 1.11 introduces pipeline observability, giving data teams centralized visibility into execution schedules, performance metrics, and table dependencies across DBT Cloud, Airflow, Kafka, and more. Key capabilities: • Track execution frequency and last run times for all pipelines • Monitor success/failure rates and execution duration • See which tables are impacted and when they'll be updated next No more guessing when pipelines last ran or when data will refresh. Everything you need to detect anomalies and understand data flow is now in one dashboard. See it in action in our latest demo video. youtu.be/MwrgDf-bOTU #DataEngineering #PipelineObservability #DataGovernance #DBTCloud #MetadataManagement

Pipeline visibility shouldn't require jumping between multiple tools and views. Collate 1.11 introduces pipeline observability, giving data teams centralized visibility into execution schedules, performance metrics, and table dependencies across DBT Cloud, Airflow, Kafka, and more. Key capabilities: • Track execution frequency and last run times for all pipelines • Monitor success/failure rates and execution duration • See which tables are impacted and when they'll be updated next No more guessing when pipelines last ran or when data will refresh. Everything you need to detect anomalies and understand data flow is now in one dashboard. See it in action in our latest demo video. buff.ly/VaRH6QH #DataEngineering #PipelineObservability #DataGovernance #DBTCloud #MetadataManagement

🚀New Release Alert: Collate Chrome Extension v1.11 Your metadata just became portable! We're excited to announce that the Collate browser extension is now available in the Chrome Web Store. Why this matters for your data team: ✅ Search your entire data catalog without leaving your current tab ✅ Access lineage, schemas, and data contracts instantly ✅ Right-click any term to search in Collate ✅ View activity feeds, tasks, and followed assets on the go ✅ Perfect for data analysts working in BI tools like Tableau Imagine reviewing a Tableau dashboard and instantly pulling up metadata, lineage, and governance details for any dataset with a single click. No more tab switching. No more context loss. Just seamless data discovery. The extension brings the Collate experience into a browser extension: search, explore schemas, view upstream/downstream lineage, check data contracts, and collaborate with your team through comments and reactions. Ready to supercharge your data workflow? Check out the full demo and download the extension from the Chrome Web Store today! Watch here: youtu.be/3xdwd_vEQQU Extension: chromewebstore.google.com/de… #DataGovernance #DataCatalog #MetadataManagement #DataEngineering #OpenMetadata #DataDiscovery #NewRelease