Skip to main content

Microsoft Azure Data Factory Management Client Library for Python

Project description

Microsoft Azure SDK for Python

This is the Microsoft Azure Data Factory Management Client Library.

Azure Resource Manager (ARM) is the next generation of management APIs that replace the old Azure Service Management (ASM).

This package has been tested with Python 2.7, 3.3, 3.4, 3.5 and 3.6.

For the older Azure Service Management (ASM) libraries, see azure-servicemanagement-legacy library.

For a more complete set of Azure libraries, see the azure bundle package.

Compatibility

IMPORTANT: If you have an earlier version of the azure package (version < 1.0), you should uninstall it before installing this package.

You can check the version using pip:

pip freeze

If you see azure==0.11.0 (or any version below 1.0), uninstall it first:

pip uninstall azure

Usage

For code examples, see Data Factory Management on readthedocs.org.

Provide Feedback

If you encounter any bugs or have suggestions, please file an issue in the Issues section of the project.

Release History

0.2.2 (2017-11-13)

Features

  • Added new connectors: AzureMySql, Salesforce and JSONFormat, Dynamics Sink

  • Added support providing Salesforce passwords and security tokens as SecureString and AzureKeyVaultSecret for Dynamics/Salesforce

  • Added cancel pipeline run api

0.2.1 (2017-10-03)

Features

  • Add factories.cancel_pipeline_run

0.2.0 (2017-09-22)

  • Initial Release

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

azure-mgmt-datafactory-0.2.2.zip (264.3 kB view details)

Uploaded Source

Built Distribution

azure_mgmt_datafactory-0.2.2-py2.py3-none-any.whl (250.2 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file azure-mgmt-datafactory-0.2.2.zip.

File metadata

File hashes

Hashes for azure-mgmt-datafactory-0.2.2.zip
Algorithm Hash digest
SHA256 18bd59c7f61e707e77dcb067143b4074cf57fa96200ed2e1ecbb122b77860765
MD5 624c7a894c209bfa957e94eb78fdeace
BLAKE2b-256 8678b098002cfe219147532c580581673c149611c0cee6a5751b97bbe98b22d7

See more details on using hashes here.

File details

Details for the file azure_mgmt_datafactory-0.2.2-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for azure_mgmt_datafactory-0.2.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f3fbafcc8b842e9a12201738803e4b150162f9c07d7a5ae0c744f47ada923fc3
MD5 ede042776c368ce1f52d02e6636c2825
BLAKE2b-256 35e00d5cf99f7de51949fcab90e9055cce1f4a92b65ff4b597339e5decb08d00

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page