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.
For the curious here is some more information around using both Python and SQL in DSS:
- Python APIs
- DSS and Python
- SQL databases
- DSS and SQL
- Python and Dataiku DSS (Dataiku Academy)
- Dataiku DSS & SQL (Dataiku Academy)
