The CData Python Connector for Azure Data Lake Storage includes a Dialect class that enables integration with SQLAlchemy. The following sections detail various aspects of this integration:

Connecting from SQLAlchemy

See Connecting to construct a URL with which SQLAlchemy loads and uses the appropriate connector automatically.

Reflecting metadata with SQLAlchemy

Reflecting Metadata shows how to model Azure Data Lake Storage tables with mapped classes.

Querying Data from SQLAlchemy

Querying Data demonstrates how to use mapped classes to query the associated tables.