![]() Loading Microsoft OneDrive Data into a CSV File In this example, we extract Microsoft OneDrive data, sort the data by the Name column, and load the data into a CSV file. With the query results stored in a DataFrame, we can use petl to extract, transform, and load the Microsoft OneDrive data. Sql = "SELECT Id, Name FROM Files WHERE Id = 'Jq74mCczmFXk1tC10GB'"Įxtract, Transform, and Load the Microsoft OneDrive Data In this article, we read data from the Files entity. Use SQL to create a statement for querying Microsoft OneDrive. Use the connect function for the CData Microsoft OneDrive Connector to create a connection for working with Microsoft OneDrive data.Ĭnxn = mod.connect("OAuthClientId=MyApplicationId OAuthClientSecret=MySecretKey OAuthCallbackURL= Create a SQL Statement to Query Microsoft OneDrive You can now connect with a connection string. Code snippets follow, but the full source code is available at the end of the article.įirst, be sure to import the modules (including the CData Connector) with the following: Once the required modules and frameworks are installed, we are ready to build our ETL app. Pip install pandas Build an ETL App for Microsoft OneDrive Data in Python Use the pip utility to install the required modules and frameworks: pip install petl See the OAuth section of the Help documentation for an authentication guide.Īfter installing the CData Microsoft OneDrive Connector, follow the procedure below to install the other required modules and start accessing Microsoft OneDrive through Python objects. To authenticate using OAuth, you will need to create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. OneDrive uses the OAuth authentication standard. For this article, you will pass the connection string as a parameter to the create_engine function. Create a connection string using the required connection properties. When you issue complex SQL queries from Microsoft OneDrive, the driver pushes supported SQL operations, like filters and aggregations, directly to Microsoft OneDrive and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).Ĭonnecting to Microsoft OneDrive data looks just like connecting to any relational data source. With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live Microsoft OneDrive data in Python. ![]() This article shows how to connect to Microsoft OneDrive with the CData Python Connector and use petl and pandas to extract, transform, and load Microsoft OneDrive data. With the CData Python Connector for Microsoft OneDrive and the petl framework, you can build Microsoft OneDrive-connected applications and pipelines for extracting, transforming, and loading Microsoft OneDrive data. The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively.
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