04_​Snowflake_​Model_​Deployment

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This workflow is an example of how to deploy a customer churn predictor as Snowflake User-Defined Function. This way the prediction is pushed down into Snowflake were the data resides. The prediction result is persistet as new database table in Snowflake.

URL: Blog post https://medium.com/snowflake/build-a-churn-predictor-with-knime-and-snowflake-5f32a1fa8f7a
URL: KNIME Snowflake Extension Guide https://docs.knime.com/latest/snowflake_extension_guide/index.html
URL: Snowflake ETL workflow https://kni.me/w/vDONDGR5-kZAtvtw
URL: Kaggle dataset https://www.kaggle.com/becksddf/churn-in-telecoms-dataset

Nodes

• CSV Reader1 ×
• DB Connection Table Writer (Labs)1 ×
• DB Reader (Labs)1 ×
• DB Table Selector (Labs)1 ×
• DB Writer1 ×
• H2O MOJO Reader1 ×
• Snowflake Connector1 ×
• Snowflake H2O MOJO Predictor (Classification)1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Database
• FeatureKNIME H2O Machine Learning Integration - MOJO Extension
• FeatureKNIME H2O Snowflake Integration
• FeatureKNIME Snowflake Integration

Links

• No links available