Bigeye
Data observability platform for monitoring data quality and lineage, with an API for metrics, issues and tables.
- Category
- Cloud & Data Platforms
- Type
- Data observability
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- API key
- Docs
- Bigeye API docs
02Data
What you can sync.
- Metrics
- Issues
- Tables
- Lineage
- Collections
Load Bigeye metrics into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Bigeye data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An API key
Bigeye uses an API key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Bigeye if you need help.
04How it works
How it works in DataMind.
-
Pick Bigeye.
Open Lake, pick Bigeye in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Bigeye API docs.
-
Answer a few questions.
The AI reads the Bigeye documentation, then asks which credentials you will use, which data to sync (for example metrics and issues), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Bigeye data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
