An Introduction to Using the Python API to interface with SQL Databases in Dataiku DSS

CoreyS
Dataiker Alumni
An Introduction to Using the Python API to interface with SQL Databases in Dataiku DSS

Python and SQL Bevy.jpg

On July 22nd, @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.

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.

Watch now

For the curious here is some more information around using both Python and SQL in DSS:

 

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