Apache Atlas
by Apache Software Foundation
Open-source metadata management and governance framework for Hadoop ecosystems; the REST API returns entities, types, lineage and classifications.
- Category
- Cloud & Data Platforms
- Type
- Data catalog & governance
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Username and password, Vendor credentials
02Data
What you can sync.
- Entities
- Type definitions
- Lineage
- Classifications
- Glossary terms
Put Apache Atlas entities next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Apache Atlas data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
- Other credentials
Apache Atlas uses a username and password or other credentials. You add the credentials once, when the AI asks for them, and it tells you where to create them in Apache Software Foundation if you need help.
04How it works
How it works in DataMind.
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Pick Apache Atlas.
Open Lake, pick Apache Atlas in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Apache Atlas API docs.
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Answer a few questions.
The AI reads the Apache Atlas documentation, then asks which credentials you will use, which data to sync (for example entities and type definitions), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Apache Atlas data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.