Snowflake BUILD | Data Pipeline Monitoring With Snowflake Cortex ML-based Functions

[@bond7891]

Thanks @Ellery for this great demo. Just out of curiosity, do we have a quickstart guide for this specific dataset and use case with all the steps to follow so that we can also do hands on and explore this great feature further.

[@snowflakedevelopers]

Thanks @bond7891 for your comment! How does this work for you? quickstarts.snowflake.com/guide/ml_forecasting_ad/

[@bond7891]

@@snowflakedevelopers Thanks. This guide I already completed and frankly it's awesome👍So want to ask if you have any more use cases to explore further. Even if a problem statement would suffice and then I can further explore the solution via great capabilities of Snowflake.

[@ChengPhansivang]

I still get confused about how I can retrieve the column from the table that I called in my model function. For example, in my table DATAFOR_ANALYSIS, which contains names and IDs, when I call the anomaly model using the DATA_FOR_ANALYSIS table, I want to select the column names that come along with the default columns of the anomaly detection model, such as name, series, y, distance, and others. This is because I need to display them on Streamlit so that the end user can understand. If I only display the default columns of the anomaly detection model, like series, y, and distance, how can the user understand it? What is the best way to handle this?