Ready for Dataiku 9? Try out the Crash Course on new features! GET STARTED

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

CoreyS
Community Manager
Community Manager
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:

 

Looking for more resources to help you use DSS effectively and upskill your knowledge? Check out these great resources: Dataiku Academy | Documentation | Knowledge Base

A reply answered your question? Mark as ‘Accepted Solution’ to help others like you!
0 Replies
A banner prompting to get Dataiku DSS