Azure Blob Storage
by Microsoft
Microsoft Azure object storage for unstructured data, with a REST API to list containers and read blobs and metadata.
- Category
- Cloud & Data Platforms
- Type
- Cloud storage
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0, Vendor credentials
02Data
What you can sync.
- Containers
- Blobs
- Blob metadata
- Files
Load Azure Blob Storage containers into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Azure Blob Storage 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)
- Other credentials
Azure Blob Storage uses OAuth 2.0 (client ID, client secret, refresh token) or other credentials. You add the credentials once, when the AI asks for them, and it tells you where to create them in Microsoft if you need help.
04How it works
How it works in DataMind.
-
Pick Azure Blob Storage.
Open Lake, pick Azure Blob Storage in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Azure Blob Storage API docs.
-
Answer a few questions.
The AI reads the Azure Blob Storage documentation, then asks which credentials you will use, which data to sync (for example containers and blobs), 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 Azure Blob Storage data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
