Google Cloud Bigtable
by Google
Google Cloud wide-column NoSQL database for large analytical and operational workloads, read via gRPC client libraries.
- Category
- Cloud & Data Platforms
- Type
- Database
- Interface
- gRPC API
- Built with
- Connect Anything
- Credentials
- OAuth 2.0, Service account key
02Data
What you can sync.
- Rows
- Tables
- Column families
- Instances
Put Google Cloud Bigtable rows next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Google Cloud Bigtable data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
- A service account key
Google Cloud Bigtable uses OAuth 2.0 (client ID, client secret, refresh token) or a service account key. You add the credentials once, when the AI asks for them, and it tells you where to create them in Google if you need help.
04How it works
How it works in DataMind.
-
Pick Google Cloud Bigtable.
Open Lake, pick Google Cloud Bigtable in the source picker and name the connection. Connect Anything opens with a ready prompt that points the AI at the Google Cloud Bigtable API docs.
-
Answer a few questions.
The AI reads the Google Cloud Bigtable documentation, then asks which credentials you will use, which data to sync (for example rows and tables), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
The connector agent writes a Python connector for Google Cloud Bigtable, tests it against the live API and shows you sample rows. Then the data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
