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glossary
Data Glossary 🧠: An interactive digital garden for deeper data exploration. Learn through a graph and backlinks, enabling layered knowledge discovery. (by airbytehq)
If you are like me and daily confused about new terms in data engineering, I started a Data Engineering Concept page. You can click on each of them, dig into details, and learn more about related concepts (everything is open on GitHub).
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data-engineering-wiki
The best place to learn data engineering. Built and maintained by the data engineering community.
Almost the same as the wiki https://dataengineering.wiki/
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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The difference is, the data glossary does not need a paid and closed-source Obsidian Publish for publishing. The data glossary is fully open and uses GoHugo and Quartz.
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quartz
🌱 a fast, batteries-included static-site generator that transforms Markdown content into fully functional websites (by jackyzha0)
The difference is, the data glossary does not need a paid and closed-source Obsidian Publish for publishing. The data glossary is fully open and uses GoHugo and Quartz.
