Passing audits doesn't guarantee trusted data. Without continuous monitoring, governance is just documentation. ModakForgeAI embeds classification, lineage, quality monitoring, and policy enforcement into data pipelines, running 24/7. #datagovernance #enterpriseai #datalineage

Data observability tells you when data breaks. Data lineage tells you what it ruined downstream. 🚨🔍 Stop wasting days manually tracing broken columns across scripts. Build graph-based, automated data lineage to harden your AI compliance and speed up debugging. Own your data provenance: mcal.in #DataLineage #DataEngineering #DataObservability

Structural optimization requires flawless data lineage. Engineering a resilient transition for H2 relies on tracking macroeconomic signals with mathematical certainty, eliminating assumptions. velthorneassetmanagement.com… #DataLineage #ALM #HelenaLacerdaMoretti

🔵 NEW REGULATORY HORIZONS RELEASE! 🚨📊🌍 📅 JUNE 2026 Regulatory Reporting Is Becoming System Design Why Compliance Now Begins at Data Capture ⚙️🔗 Most firms think reporting problems start in reporting systems. They don't. They start much earlier: 📍 Trade Capture 📍 Booking 📍 Reference Data 📍 Enrichment 📍 Validation By the time data reaches a report, the quality of the outcome has often already been decided. 🔥 This month's edition explores: ⚙️ Compliance as a systems architecture discipline 🔗 Field-level data lineage 📊 Validation and transformation controls 🚨 Exception workflow management 🧠 The future role of the Regulatory Business Analyst The industry is shifting from: 📄 Reporting compliance to ⚙️ Executing compliance. The future belongs to systems that: ✅ Prevent bad data ✅ Enforce rules automatically ✅ Validate continuously ✅ Maintain end-to-end lineage ✅ Generate trusted regulatory outcomes 💡 Core Signal: 👉 Regulation is no longer something systems report on. 👉 It is something systems must execute. 📖 Read the full June edition now from MD Market Insights. linkedin.com/pulse/regulator… #CapitalMarkets #Compliance #RegulatoryReporting #RegTech #BusinessAnalysis #DataLineage #DataGovernance #FinancialTechnology #SystemsArchitecture #TradingSystems #CapitalMarketsTechnology #RiskManagement #Finance #MDMarketInsights #FinTech #DigitalTransformation #DataQuality #BankingTechnology #InvestmentBanking

RT One of the biggest security challenges with unstructured data is the lack of visibility and lineage as information moves across systems, clouds, and teams." #DataLineage #AI @Star_CIO infoworld.com/article/416097…

Collate Summit '26 is one week away. The agenda features real-world discussions on metadata, governance, lineage, data quality, and the establishment of trusted foundations for AI. OpenMetadata community members are invited to join us on June 10. Register here: buff.ly/cnu3ZnV #OpenMetadata #Metadata #DataGovernance #DataLineage #AIReadiness

RT One of the biggest security challenges with unstructured data is the lack of visibility and lineage as information moves across systems, clouds, and teams." #DataLineage #AI @Star_CIO infoworld.com/article/416097…

@cassandra is the quiet powerhouse behind some of the internet's most demanding applications. Netflix streams video to millions; Apple processes transactions globally; major retailers run their entire e-commerce platforms on it. Of course, Collate, powered by @open_metadata , supports it, and Jason Haugland , along with @progrockrec , show you what that looks like in this latest Collate Solutions video. 🎥👉Watch here: buff.ly/3vyQpCh #apachecassandra #dataengineering #datagovernance #datalineage #dataquality

Regulated banks don't get to choose whether they govern data. They govern or they fail audits. @unionbankph: 12.5M customers, 38K assets, lineage across @Snowflake SageMaker QuickSight. Started with Excel. Moved to @CollateData. Cirene Simbahan at #CollateSummit. June 10. Free. buff.ly/yHOH3jG #DataGovernance #DataLineage

Vendor-specific #DataLineage stops at the platform boundary. Partial lineage creates false confidence. The answer is a platform-independent #DataCatalog owned by none of the platforms it connects. kai-waehner.de/blog/2026/05/… #DataGovernance #AgenticAI #Datahub #OpenMetadata

Apache Iceberg is the dominant force in the table format space, and as such, it's an important part of your data ecosystem, and it is, of course, supported by #OpenMetadata. The support is less obvious and more convenient than you might have thought. In this new episode of Ask the Experts, Teddy Crepineau and @progrockrec will explain it all to you and give a practical demonstration. Not to be missed! 🎥👉youtu.be/aMCpmmywEGs #apacheiceberg #dataengineering #datagovernance #datalineage #dataquality

In this month's Product Demo, Dale Kim and James Nguyen showed how Collate, the enterprise platform built on OpenMetadata, takes you from "I need data" to "here's the data I need, who owns it, and why I can trust it." Your data teams can spend hours hunting for the right datasets, and even longer figuring out if they can trust what they find. You can't succeed with your data initiatives if you're constantly afraid of garbage-in-garbage-out. They covered: * A brief demo of data discovery and trust signals in Collate * Why discovery is only the start, and what else you need to make data usable * A quick walkthrough and discussion of Data Contracts in Collate 👉🎥Watch here: youtu.be/_V1vVyrENDQ #AI #datadiscovery #dataquality #datalineage #datagovernance #dataengineering #datastewards #dateacontracts

Stuck on setup, connectors, or a specific use case? Drop into OpenMetadata Office Hours tomorrow at 11am ET and get direct help from the team and community. 🙋 Troubleshoot issues with engineers 🔧 Get guidance on connectors & deployment 💡 Sanity-check your use cases and ideas Quick, practical, and hands-on - come get unblocked! Sign up here 🚀 buff.ly/Y1t8Wxq #Dataengineering #Datagovernance #Dataquality #Datalineage #Openmetadata

One of the biggest security challenges with unstructured data is the lack of visibility and lineage as information moves across systems, clouds, and teams." #DataLineage #AI infoworld.com/article/416097…

@ApacheIceberg is the dominant force in the table format space, and as such, it's an important part of your data ecosystem, and it is, of course, supported by #OpenMetadata. The support is less obvious and more convenient than you might have thought. In this new episode of Ask the Experts, Teddy Crepineau and @progrockrec will explain it all to you and give a practical demonstration. Not to be missed! 👉🎥Watch here: buff.ly/58n5lFU #apacheiceberg #dataengineering #datagovernance #datalineage #dataquality

🚀 Working with Data Lineage? @progrockrec and Teddy Crepineau pick up the conversation about Data Quality in this second part. Scalability is the focus this time around. This video demonstrates how teams can simplify their data workflows and improve collaboration using intelligent metadata management. Key takeaways: ✅ Understanding Data Lineage capabilities 🎯 Implementation best practices 💡 Integration with your existing data stack See it in action in the full demo: youtu.be/s_fZF_ZSyrc #DataGovernance #OpenMetadata #DataLineage #DataCatalog

Data quality issues are inevitable, but they don't have to be painful. In this video, Teddy Crepineau and @progrockrec walk through why data quality is one of the most critical (and most overlooked) pillars of a healthy data platform, and how Collate makes it straightforward to define, monitor, and act on quality standards across your data assets. You'll see exactly how it works inside Collate with a hands-on look at the tools and workflows that turn a typically tedious process into something your team can actually keep up with. What's covered: • Why data quality matters and where teams typically struggle • How Collate approaches quality monitoring within your metadata layer • A live walkthrough of the data quality features inside Collate Watch here: youtu.be/vluJUHL4Zc8 #dataengineering #dataquality #datalineage #datagovernance #openmetadata

datalineage: when forecasts fail and only coffee holds steady

🚀 *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