How To Use Advance Feature Engineering To Preprocess Data In BigQuery ML
Preprocessing and transforming raw data into features is a critical but time consuming step in the ML process. This is especially true when a data scientist or data engineer has to move data across different platforms to do MLOps. In this blogpost, we describe how we streamline this process by adding two feature engineering capabilities in BigQuery ML. Our previous blog outlines the data to AI journey with BigQuery ML, highlighting two powerful features that simplify MLOps – data preprocessing functions for feature engineering and the ability to export BigQuery ML TRANSFORM statement as part of the model artifact. In…
Share