Description
While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.
Summary
- While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.
- After AutoML training, Redshift ML compiles the best model and registers it as a prediction SQL function in your Redshift cluster.
- You can perform feature engineering with BigQuery ML by using the TRANSFORM clause in your CREATE MODEL statement.
- If you have so much data that you might otherwise have to fit models on a sampled subset, however, then any of these databases might help you to build models from the full dataset without incurring serious overhead for data export.