For this article, you will pass the connection string as a parameter to the create_engine function.ĭropbox uses the OAuth authentication standard. Create a connection string using the required connection properties. When you issue complex SQL queries from Dropbox, the driver pushes supported SQL operations, like filters and aggregations, directly to Dropbox and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).Ĭonnecting to Dropbox 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 Dropbox data in Python. This article shows how to connect to Dropbox with the CData Python Connector and use petl and pandas to extract, transform, and load Dropbox data. With the CData Python Connector for Dropbox and the petl framework, you can build Dropbox-connected applications and pipelines for extracting, transforming, and loading Dropbox data. The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively.
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