Supercharge DOMO With Python: Faster SQL, Quicker Uploads, and More Flexible Forecasts

Domo can be made even faster and more flexible by linking it to Python. You will learn how to connect the two programs with the help of a lightweight wrapper module (which you will receive code for). Once we familiarize ourselves with the module, you will learn to create/replace/update/delete functions in Python. Next, we will illustrate SQL in Python which dramatically shortens runtimes vs Domo RedShift. Once we upload our data, we will see how we can gain additional flexibility in forecasting beyond what’s offered by Domo’s data science functions. We will bring this to life by using publicly available government data to forecast GDP.