Open source identity resolution to build single source of truth on the warehouse and datalake
Joined September 2021
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61 Photos and videos
🕸️ 9 months. One knowledge graph. Wrong data.
The problem wasn't the tech — it was identity.
Without entity resolution underneath, your graph just connects the mess faster.
🔖 learningfromdata.zingg.ai/p/…
#EntityResolution #KnowledgeGraph #DataQuality #ZinggAI
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FHIR standardizes exchange — but duplicates still slip through.
Names vary. IDs missing. Legacy migrations. Manual errors.
Zingg InterSystems FHIR SQL Builder resolves duplicates right inside the FHIR Server.
Cleaner data. Better care.👇
🔗shorturl.at/MCsry
#FHIR #ZinggAI
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🔀 Deterministic vs. probabilistic matching — wrong question.
Pick one approach, and you miss exactly the records that matter most.
You need both. One unified graph. 👇
zingg.ai/post/deterministic-…
#ZinggAI #MDM #IdentityResolution
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Entity resolution looks simple. Then you re-run it.
Should be quick, right?
Prod is down an hour later.
Every ID changed. CRM broken. Fraud model broken.
It's not a batch job. It's a living graph. Every change is a mutation.
Build or buy? 👇
zingg.ai/post/build-vs-buy-e…
#ZinggAI #MDM
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⭐ 𝗠𝗗𝗠 𝗧𝗼𝗼𝗹𝘀 𝗛𝗮𝘃𝗲 𝗖𝗵𝗮𝗻𝗴𝗲𝗱 -𝗛𝗮𝘀 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆?
From rigid rule-based hubs to AI-powered entity resolution — Master Data Management has come a long way.
We wrote a thorough breakdown of how we got here: shorturl.at/j0DFI
#ZinggAI
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📷 **Webinar: Zingg June Community Event – Open Source Modular Notebook on Databricks**
Date: Thursday, June 4, 2026 | 8:30 PM IST (11 AM EST)
Price: Free
Registration: eventbrite.com/e/zingg-june-…
#ZinggAI #Databricks #Opensource #CommunityEvent
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Check out the latest article in my newsletter: The MDM Magic Quadrant Is Back. Here’s What Is Missing. linkedin.com/pulse/mdm-magic… via @LinkedIn
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⭐ Is entity-centric matching slowing your data pipeline down?
Missed matches. False positives. Data you can't trust. 😬
We unpack where it breaks 👇
👉 zingg.ai/post/limits-of-enti…
#DataMatching #DataQuality #Zingg
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Sonal Goyal explained this in an episode on the DataTalksClub channel—diving into how identity plays a central role in building meaningful graph models.
Full Video: shorturl.at/Q4mbp
#ZinggAI #EntityResolution
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Customer Data Platforms unify data from multiple sources into a single customer profile, enabling personalized marketing experiences built for marketing teams.
Learn how CDPs help businesses better understand their customers:tinyurl.com/3wt6rz63
#ZinggAI #CDP
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Fragmented data systems let fraudsters exploit blind spots across institutions. Every $1 of fraud costs $4.41 in real losses. Enable early detection using Entity Resolution:zingg.ai/?utm_source=linkedi…
#ZinggAI #EntityResolution
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Check out the latest article in @sonalgoyal newsletter: The Semantic Layer Does Not Have All The Answers. linkedin.com/pulse/semantic-… via @LinkedIn
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Entity resolution without explainability is a compliance risk. Every match decision must be traceable, auditable, and defensible for regulated industries.
Check out the must-have & premium features of an entity resolution-powered MDM: shorturl.at/WhI05
#MDM #ZinggAI
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Traditional MDM extracts data into separate hubs, creating silos that regulations penalize and AI can't traverse. Traditional MDM extracts data into separate hubs, creating silos.
Check Out How Zingg Solves This: zingg.ai/product/entity-reso…
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They're half right. Traditional MDM is dead. But entity resolution-powered MDM is alive.
ML-based matching runs natively in your warehouse—no data movement.
Discover What Replacing Traditional MDM:zingg.ai/post/why-legacy-mdm…
#MDM #ZinggAI
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Reassign - new Zingg feature that lets you update Zing g models while preserving Zingg IDs. learningfromdata.zingg.ai/p/…
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Zingg retweeted
Feb 10
1/Vibe coding has everyone debating whether SaaS is dead.
Both sides — "just build it yourself" vs "a POC isn't a product" — have a point.
But they're both arguing about the wrong thing. 🧵
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Zingg retweeted
Feb 10
2/The real threat to SaaS isn't that customers will build replacements.
It's that customers will demand their data back.
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Zingg retweeted
Feb 10
3/Most enterprises aren't going to build their own CRM or payroll system.
But they are going to build custom AI agents — tailored to their workflows, their industry, their edge.
And those agents are useless without the data that lives inside SaaS systems.
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