CData Python Connector for Azure Data Lake Storage

Build 22.0.8388

Getting Started

Connecting to Azure Data Lake Storage

Package Installation explains the available WHL and TAR.GZ files for the supported environments, as well as how to install the appropriate one to your python distribution.

Establishing a Connection indicates the module to import and shows how to configure the necessary connection properties in a connection string. Other available connection properties can be used to configure other aspects of the connector capabilities.

Python Version Support

The CData Python Connector for Azure Data Lake Storage can be installed and used in various Python 3.7, 3.8, 3.9, and 3.10 distributions (Mac is restricted to Python 3.8, 3.9 and 3.10).

Azure Data Lake Storage Version Support

The provider leverages the Azure Data Lake Storage API to enable bidirectional access to Azure Data Lake Storage.

See Also

  • Using the Connector: Establish connections and query Azure Data Lake Storage through Python code.
  • From SQLAlchemy: Use SQLAlchemy to establish a connection with dialect URL, and interact with Azure Data Lake Storage data using mapped classes and Sessions.

Copyright (c) 2022 CData Software, Inc. - All rights reserved.
Build 22.0.8388