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Using SQL Server as a backup for critical business data provides an essential safety net against loss. Backing up data to SQL Server enables business users to more easily connect that data with features like reporting, analytics, and more.
This example demonstrates how to use the CData SSIS Tasks for Snowflake inside of a SQL Server SSIS workflow to transfer Snowflake data into a Microsoft SQL Server database.
CData simplifies access and integration of live Snowflake data. Our customers leverage CData connectivity to:
Many CData users use CData solutions to access Snowflake from their preferred tools and applications, and replicate data from their disparate systems into Snowflake for comprehensive warehousing and analytics.
For more information on integrating Snowflake with CData solutions, refer to our blog: https://www.cdata.com/blog/snowflake-integrations.
To get started, add a new Snowflake source and SQL Server ADO.NET destination to a new data flow task.
๐ The Data Flow task used in this example. (Salesforce is shown.)Follow the steps below to save Snowflake connection properties in a connection manager.
To connect to Snowflake:
See the Getting Started guide in the CData driver documentation for more information.
๐ Configuring a connection (Salesforce is shown).Follow the steps below to specify the query to be used to extract Snowflake data.
SELECT Id, ProductName FROM Products๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Snowflake data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Snowflake data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the Snowflake SSIS Component to get started:
Download NowLearn more:
๐ Snowflake Enterprise Data Warehouse IconPowerful SSIS Source & Destination Components that allows you to easily connect SQL Server with live Snowflake data through SSIS Workflows.
Use the Snowflake Data Flow Components to synchronize with Snowflake data warehouse. Perfect for data synchronization, local back-ups, workflow automation, and more!