AzureDataLakeHook

Microsoft AzureCertified

Interacts with Azure Data Lake.

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Last Updated: Apr. 16, 2021

Access Instructions

Install the Microsoft Azure provider package into your Airflow environment.

Import the module into your DAG file and instantiate it with your desired params.

Parameters

azure_data_lake_conn_idstrReference to the Azure Data Lake connection.

Documentation

Interacts with Azure Data Lake.

Client ID and client secret should be in user and password parameters. Tenant and account name should be extra field as {“tenant”: “<TENANT>”, “account_name”: “ACCOUNT_NAME”}.

Example DAGs

Improve this module by creating an example DAG.

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  1. Add an `example_dags` directory to the top-level source of the provider package with an empty `__init__.py` file.
  2. Add your DAG to this directory. Be sure to include a well-written and descriptive docstring
  3. Create a pull request against the source code. Once the package gets released, your DAG will show up on the Registry.

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