This repository contains example notebooks demonstrating the Open Datasets Python SDK which allows you to enrich, and get open datasets using Azure. The OpenDataSets SDK allows you the choice of using local or cloud compute resources, while managing and maintaining the complete data from the cloud.

pip install azureml-opendatasets

• To learn more about Azure Open Datasets: https://docs.microsoft.com/azure/open-datasets/
• How to load open datasets into your familiar Pandas/SPARK DataFrame: check out notebooks under tutorials/data-access.
• How to join your own data with open datasets: check out notebooks under tutorials/data-join.

• For Pandas version, either you already created your own Azure Notebooks library, or you have your own Jupyter server. Then you simply upload the notebook over there to run it.

• For SPARK version, you can create an Azure Databricks Workspace in your Azure subscription, upload the notebook over there, and click 'Run'. Alternatively, you can setup your own SPARK cluster and run it there.

Detailed API references are available here.

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