Joined August 2014
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🚀Excited to share how @CollateData 's $10M Series A accelerates @open_metadata open source mission → Faster release velocity → More Product Development and community support → Renewed investment in open core Read more in the OpenMetadata blog: blog.open-metadata.org/colla…
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Harsha Chintalapani retweeted
Imagine if your smartest colleague can only whisper knowledge to one person at a time. Everyone else guesses. That's enterprise AI agents today. Collate 2.0 fixes it with shared memory: one correction, inherited by every agent. Thanks @miyadavid for including Collate CTO @d3fmacro in @VentureBeat. Wishing her well on what's next. buff.ly/9bHBML2 #AIAgents #ContextCenter #AIforData
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Harsha Chintalapani retweeted
Replying to @LukasHozda
Don’t you use Brave? :-)
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Last chance to register! @CollateData Summit '26 is tomorrow. Context layers for AI, governance, lineage, and data quality. Register: buff.ly/CC7BH2T #OpenMetadata #ContextLayer #AIReadiness #DataGovernance
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Harsha Chintalapani retweeted
AI isn't coming for data teams — it's already here. The challenge? Making data understandable enough for it to work. New InsideAnalysis episode: @JessicaTalisman & @Eric_Kavanagh on why semantic data graphs are the foundation for enterprise AI. Also featuring @d3fmacro. 🎥 buff.ly/8xNyU2l #AI #KnowledgeGraph #SemanticLayer
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Harsha Chintalapani retweeted
70k words, 600 illustrations, and 1000s of hours (so far). Making Software is now available in early access. makingsoftware.com/early-acc…
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Harsha Chintalapani retweeted
ChatGPT on database schemas: 10% accuracy. Same model Collate semantic context: 77%. Context tells AI where data lives. Semantics tells AI what data means. Both layers matter. Collate named to the DBTA 100 — Companies That Matter Most in Data, 2026. buff.ly/rEeyxIg #SemanticContext #ContextLayer #AIforData #DBTA100
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Harsha Chintalapani retweeted
Your AI is missing context that lives in Confluence pages, shared drives, documents, and the institutional knowledge your teammates carry but never wrote down. Live demo June 18, 9 am PDT: Collate Context Center. 30 minutes. Register Now: buff.ly/v10g7KZ #Collate #OpenContextLayer #DataGovernance #OpenMetadata #DataEngineering
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Harsha Chintalapani retweeted
Check out the latest episode of the Collate Product Demo Series. This shows many of the powerful data quality capabilities in Collate that eliminate the errors that cost your business money. Also see how to get an analytics head start with Collate AI Analytics. 🎥👉Watch here: buff.ly/E5pPXmA #DataQuality #OpenMetadata #DataEngineering #Collate #AiAnalytics
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Harsha Chintalapani retweeted
Don't compare that man to Steph ever again
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Harsha Chintalapani retweeted
🆕 A while back, @open_metadata added the StarRocks connector. This makes it easier to bring metadata into OpenMetadata, including schemas, tables, column types, and view definitions via StarRocks’ MySQL-compatible interface. Setup guide: docs.open-metadata.org/v1.12…
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Harsha Chintalapani retweeted
I audited unofficial Openmetadata CLI from romamo/openmetadata-cli against 22 Critical CLI Agent Spec failure modes. Even though it was built during a hackathon, it has the best score among all the other tested tools. Result: 1.5/3 average. Readiness: 12/15 [B]. This CLI already has a serious agent-first foundation: JSON envelopes on normal commands, schema introspection, dry-run mutation previews, MCP mode, bundled agent skills, non-TTY SSO protection, and prompt-injection tagging for external data. The remaining gaps are mostly contract gaps, not conceptual gaps. The two failing Critical checks were: §43 output size: no max-output flag, truncation metadata, or schema-declared output cap. §74 credential scopes: schema does not declare required_scopes and there is no check-permissions preflight. The partial failures matter too: timeout maps to GENERAL_ERROR, credential expiry maps to AUTH_REQUIRED, invocation errors can bypass JSON, and dry-run output lacks affected scope/effect fields. Bottom line: omd is close to being highly agent-ready. The next step is making every failure and credential boundary machine-readable. Full report: cli-agent-spec.github.io/eva… @open_metadata

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Harsha Chintalapani retweeted
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
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Harsha Chintalapani retweeted
Supply chain attacks and OSS sustainability go hand in hand. I've semi-seriously joked for years that OSS upstreams should periodically purposely inject full vulns into their code and let downstreams fuck around and find out. Downstreams can pay to get the non-FAFO version. The not joke part is simply that OSS maintainers aren't a supply chain. OSS maintainers are not responsible for monitoring CVEs (because, they are not a supply chain). OSS maintainers are not at fault when bad shit happens to downstreams, because basically every OSS license (MIT, Apache, GPL, etc.) literally says: the software is provided "as-is, without warranty." You get what you pay for (that is to say: absolutely nothing!) Now, the joke part is that I do believe there is an ethical obligation to try to prevent harm downstream. But "try" is the key word. So, this isn't a serious proposal. But, if you're using OSS code and you're not paying for a license with a contract that promises some kind of warranty, you have no supply chain. You (the downstream user of an OSS lib) ARE the supply chain. To use a metaphor: physical goods have a real supply chain. Car manufacturers, chips, clothes, toys, etc. You have a signed commercial agreement with all your suppliers that promises quantity AND quality and blowback if either are missed. Thats a supply chain. If someone puts some chips on the side of the road with a "FREE" sign, then you integrate those into a product, then find out those chips are hacking customers, its your fault, not the person who dropped them on the side of the road.
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Harsha Chintalapani retweeted
Bragging about how much software you’re shipping with AI is like holding down the shutter button and bragging about how many photos you took.
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Harsha Chintalapani retweeted
@Scout24 runs @Collatedata, built on @open_metadata, in production and calls it a "context catalog." AWS, Starburst, Collate. MCPs for GitHub Confluence. AI-generated docs, human-certified. PII tags propagate from Collate to the query engine for agent-level governance. Angelita Frozza Sanches presents the full build at Collate Summit, June 10. Free: buff.ly/HcxGymJ #OpenMetadata #DataEngineering #AIAgents #ContextLayer
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Harsha Chintalapani retweeted
"Data catalog" became a bad word at @Scout24 after their legacy catalog failed. After modernizing with @CollateData, Head of Data Infrastructure and Governance, Angelita Frozza Sanches implemented their "context catalog" The goal: give AI agents and people shared meaning, ownership, and trust signals for every data interaction. She presents the full build at Collate Summit, June 10. Free: getcollate.io/summit2026 #DataGovernance #ContextLayer #AIAgents
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Harsha Chintalapani retweeted
Lukas Patzke, Analytics Architect @Airbus is sharing his knowledge on an expert panel at Collate Summit on June 10. "Governance in an AI-First World" Experts will discuss trends in data and AI governance as self-service analytics and self-service AI scales at organizations. June 10. Free. 🔗 buff.ly/HcxGymJ #DataEngineering #DataGovernance #AIGovernance #AIAnalytics #CollateSummit
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Harsha Chintalapani retweeted
Lukas Patzke, Analytics Architect @Airbus is sharing his knowledge on an expert panel at Collate Summit on June 10. "Governance in an AI-First World" Experts will discuss trends in data and AI governance as self-service analytics and self-service AI scales at organizations. June 10. Free. 🔗 buff.ly/HcxGymJ #DataEngineering #DataGovernance #AIGovernance #AIAnalytics
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Harsha Chintalapani retweeted
Context isn’t optional for enterprise AI. It’s the difference between answers and accurate, trustworthy decisions. This new white paper from industry expert, @mikeferguson1, explores how leading organizations are building AI-ready data foundations with unified semantics and governance 👇 What you’ll learn: → How a unified knowledge graph eliminates semantic chaos and gives AI consistent context → Why AI-powered governance is key to enforcing quality, security, and policies at scale → How to build reusable, AI-ready data products faster with metadata-driven workflows → What a semantic system of record looks like - and why it acts as persistent memory for AI If you’re serious about reducing hallucinations and scaling AI responsibly, this is a must-read. Download here👇 🔗buff.ly/CKxXNq6 #DataGovernance #AI #Metadata #KnowledgeGraph #AIAgents #DataEngineering #SemanticLayer
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Harsha Chintalapani retweeted
Most governance failures mean audit findings. In clinical genetics, the stakes are higher. Dan Kostecki from @AmbryGenetics at Collate Summit '26: governed data product lifecycle, PHI-free production environment, CAP/CLIA HIPAA FDA Part 11 compliant. June 10 | Virtual | Free getcollate.io/summit2026 #CollateSummit #DataGovernance #DataQuality #DataEngineering #AIinProduction
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