Azure Data Lake Storage
by Microsoft
Hierarchical-namespace storage on Azure for analytics data lakes, with a REST API for file systems, paths and files.
- 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.
- File systems
- Paths
- Files
- Access control lists
Put Azure Data Lake Storage file systems next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other Azure Data Lake 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 Data Lake 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 Data Lake Storage.
Open Lake, pick Azure Data Lake Storage in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Azure Data Lake Storage API docs.
-
Answer a few questions.
The AI reads the Azure Data Lake Storage documentation, then asks which credentials you will use, which data to sync (for example file systems and paths), 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 Data Lake Storage data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
