Snowflake Connector
This node creates a connection to a Snowflake database using the selected Snowflake JDBC driver. Learn more
Collection
KNIME for Snowflake Users
Enable anyone in the organization - whether data experts, data analysts, business experts, scripters or non-scripters - to access and make sense of data in Snowflake, and virtually anywhere else, with KNIME’s low-code/no-code capabilities and dedicated nodes such as the Snowflake Connector node.
KNIME Snowflake Extension Guide
This guide describes how to work with Snowflake from within KNIME Analytics Platform.
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Getting Started with Snowflake Workflows
Utilizing Snowflake data within KNIME requires a connection to a Snowflake Data Warehouse using the KNIME Database Framework. Once connected with the Snowflake Connector node, you will be able to use all KNIME DB nodes for visual query generation.
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Workflow
How to Get Started with Snowflake
This workflow shows two ways to execute a Snowflake query within KNIME.
TemplatesHow to Get Started with Snowflake
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ETL vs. ELT with KNIME and Snowflake
KNIME makes it easy for you to get your data into the right form within Snowflake whether you want to do ETL or ELT. By using the KNIME DB extension, you can visually create database queries to push execution to the database or warehouse.You can design your workflow based on where you would like the execution of different pieces of the workflow to take place.
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Workflow
How to Prepare and Explore Data with KNIME and Snowflake (ETL)
This workflow is an example of how to read and transform different customer data files within KNIME prior loading the manipulated…
TemplatesHow to Prepare and Explore Data with KNIME and Snowflake (ETL)
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Workflow
How to Prepare and Explore Data with KNIME and Snowflake (ELT)
This workflow is an example of how to read different customer data files in KNIME and upload it to Snowflake.
TemplatesHow to Prepare and Explore Data with KNIME and Snowflake (ELT)
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In-Database Model Inferencing
Powered underneath by the Snowpark integration, you can now create a model within KNIME and push it to your Snowflake Data Warehouses. Once the model is placed in the warehouse, you can then perform the model inferencing steps at the data (Snowflake) layer.
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Workflow
Building a Churn Predictor with Snowflake
This workflow connects to a Snowflake database, loads and joins customer data, computes summary statistics, and prepares the data…
Industry & Department Use CasesRetail & CPGChurn Prediction with SnowflakeBuilding a Churn Predictor with Snowflake
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Workflow
Deploying a Churn Predictor with Snowflake
This workflows connects to a Snowflake database, retrieves the latest customer data, and applies a pre-trained churn prediction m…
Industry & Department Use CasesRetail & CPGChurn Prediction with SnowflakeDeploying a Churn Predictor with Snowflake
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Workflow
Customer Segmentation with Snowflake
This workflow connects to a Snowflake database, loads customer transaction data, and implements basic customer segmentation throu…
Industry & Department Use CasesRetail & CPGCustomer Segmentation with Snowflake
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Data Apps powered by KNIME and Snowflake
With KNIME Business Hub, a user has the ability to create and deploy workflows across the business that are powered by Snowflake and KNIME. You can schedule the workflow to run at specific times , deploy it as a REST endpoint, or create a visual data app. Below you can find an example of a workflow which uses Snowflake data to create a sales KPI dashboard. Take a look at the KNIME Data Apps Beginners Guide in the additional material section.
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Workflow
Stockout Monitoring with Snowflake
The workflow processes stockout data about different item categories and across different warehouses in the US, for the years 202…
Industry & Department Use CasesManufacturingStockout Monitoring with Snowflake
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