In most companies, SQL databases are a primary source of data for data science projects. The seamless access to a broad range of SQL databases is a key feature of Dataiku DSS. DSS builds on this capability by providing a Python API for interfacing with SQL tables. This functionality is a boon for Data Scientists who use Python to develop and deploy machine learning projects.
@Marlan (Senior Data Scientist, Premera Blue Cross) shared practical suggestions for making effective use of the Python API for interfacing with SQL databases across a number of use cases. The following topics are covered in the recording below:
Below is the deck, including code samples, and the project export if you'd like to start playing with it in DSS!
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