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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 Redis inside of a SQL Server SSIS workflow to transfer Redis data into a Microsoft SQL Server database.
To get started, add a new Redis 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 Redis connection properties in a connection manager.
Set the following connection properties to connect to a Redis instance:
Set to negotiate SSL/TLS encryption when you connect.
๐ Configuring a connection (Salesforce is shown).Follow the steps below to specify the query to be used to extract Redis data.
SELECT City, CompanyName FROM Customers๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Redis data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Redis data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the Redis SSIS Component to get started:
Download NowLearn more:
๐ Redis IconPowerful SSIS Source & Destination Components that allows you to easily connect SQL Server with Redis high-performance data stores through SSIS Workflows.
Use the Redis Data Flow Components to synchronize with Redis data. Perfect for data synchronization, local back-ups, workflow automation, and more!