Select Star @selectstarhq

Select Star is an automated data catalog, data lineage, and data documentation platform designed for data discovery and data governance. selectstar.com Joined July 2020

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Select Star @selectstarhq

7 days ago

If you asked five dashboards for “active customer,” would you get one answer or five? 👀 Open Semantic Interchange (OSI) make semantics portable BI→AI. Select Star turns trusted BI into AI-ready semantics. 📖 selectstar.com/resources/snow…

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Select Star @selectstarhq

a week ago

Does your data stack ever feel like IKEA furniture without the instructions? 🛠️ That’s metadata without proper management: confusing, incomplete, missing a few screws. Here’s a quick guide to the top metadata tools and what to look for: selectstar.com/resources/meta…

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Select Star @selectstarhq

2 weeks ago

Three dashboards. Three numbers. One metric. 🔍📊 The issue isn’t the math. It’s the lineage. See how Select Star brings column-level lineage to Redshift 👉 selectstar.com/resources/reds…

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Select Star @selectstarhq

3 weeks ago

🤔 What’s more valuable than data itself? Metadata. It shows what data is, where it came from, how it’s used, who owns it, and if you can trust it. Shinji Kim breaks it down on Software Engineering Daily: selectstar.com/resources/meta…

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Select Star @selectstarhq

4 weeks ago

What if your next data hire was a platform? 🤖 Datasembly cut project time by 90% and saved $30K/year. Not by hiring, but by getting clear on their data with Select Star. 📖 selectstar.com/case-studies/d… selectstar.com/case-studies/d…

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Select Star @selectstarhq

a month ago

AI struggles with your data not because it’s undocumented, but because it lacks context. customer_id isn’t just a string. It’s a relationship, a driver, a business concept. Context engineering bridges that gap. 👉 selectstar.com/resources/cont…

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Select Star @selectstarhq

a month ago

🤖📊 AI is replacing dashboards but without a bulletproof semantic layer, it’s just guessing. Trusted definitions, lineage, and context aren’t optional. Tobias Macey & Shinji Kim break it down on the Data Engineering Podcast: selectstar.com/resources/sema…

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Select Star @selectstarhq

a month ago

How many hours have you lost chasing the real source of a number? ⏳ Table-level lineage is helpful. Column-level lineage? That’s where the magic happens. ✨ Check out our real-world examples 👉 selectstar.com/resources/colu…

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Select Star @selectstarhq

2 months ago

🚀 Select Star now integrates with Salesforce CRM Analytics! Search all assets, see full data context, and auto-document recipes, datasets, lenses, and dashboards so your team can trust every metric. Read more 👉 selectstar.com/resources/sale…

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Select Star @selectstarhq

2 months ago

New ERD, who dis? 🗺️ Cleaner diagrams, easier navigation, less noise: ✏️ Hide irrelevant joins 🗺️ Mini-map + zoom 🎯 Highlight & collapse nodes Plus, our guide on ERDs vs. Data Lineage, when to use each and why they work best together. 📖 selectstar.com/resources/enti…

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Select Star @selectstarhq

2 months ago

🤖 Can your LLM answer “What’s revenue by state for Q1?” without tripping over your schema? Text-to-SQL tools promise a lot, but context is the key. We break down the top tools of 2025, what to look for, and why it matters: selectstar.com/resources/text…

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Select Star @selectstarhq

2 months ago

Why do LLMs generate SQL that looks right but fail when you run it? Without schema, metrics, or usage context, it’s just guessing. Here’s how to fix it → prompt engineering, LLM fine-tuning, RAG pipelines, and MCP + agents. Read more: selectstar.com/resources/text…

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Select Star @selectstarhq

2 months ago

Ever had two teams define the same metric differently, then find out after exec review? 📊🤦‍♀️ A business glossary keeps everyone on the same page. This guide covers how to build one that actually works👇 selectstar.com/resources/busi…

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Select Star @selectstarhq

2 months ago

🤖 Tired of your AI inventing column names? Your LLM is only as good as the metadata behind it. Select Star MCP gives it context—so it stops guessing and starts understanding. 🔍 Discover the right data 🧠 Use real metadata 🔄 Trace lineage 👉 selectstar.com/resources/data…

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Select Star @selectstarhq

3 months ago

🤖 Can your AI agents really understand your data? Most LLMs guess. Select Star MCP gives context to: 🔍 Find the right data 🧠 Leverage rich context 🔄 Trace flows across tools Our Modern Data Catalog for AI is now on AWS 👉 selectstar.com/resources/data… Agents.now/?utm_medium=so…

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Select Star @selectstarhq

3 months ago

Is your data lineage solving problems or just adding spaghetti? 🍝 Learn how to simplify complexity with automated, column-level lineage: 📌 What it is ⚙️ How to automate it 🔍 What to look for in a tool 📘 selectstar.com/resources/the-…

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Select Star @selectstarhq

3 months ago

🤖 AI copilots are only as smart as your metadata. Copilots need more than model smarts, they need metadata: 🧠 Structured context for LLMs 🧭 Lineage-aware queries 📚 Semantic + usage insights 🔗 BI + orchestration integration Read more: selectstar.com/resources/data…

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Select Star @selectstarhq

3 months ago

Centralized or decentralized - which data team model actually scales? @Opendoor chose centralization guided by the 3P Framework: 🧑‍🤝‍🧑 People 🧰 Platform 🔁 Process The result: less duplication, more trust, and analytics that drive business. 👉 selectstar.com/resources/cent…

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Select Star @selectstarhq

3 months ago

Self-service analytics is the goal, but how do you actually get there? Opendoor centralized metadata with Select Star and migrated to QuickSight unlocking: ✅ Faster debugging ✅ Improved access ✅ Fewer incidents 🔍 Read the full story: selectstar.com/resources/amaz…

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Select Star @selectstarhq

3 months ago

🧭 Is your data self-explanatory or does it need a tour guide? If lineage looks like spaghetti and table names need deciphering, it's time to rethink how your data is organized. Start with data domains: 🏢 Business 🖥️ Tech ⌚ Product Here's how 👉 selectstar.com/resources/data…