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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 Neo4J inside of a SQL Server SSIS workflow to transfer Neo4J data into a Microsoft SQL Server database.
To get started, add a new Neo4J 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 Neo4J connection properties in a connection manager.
To connect to Neo4j, set the following connection properties:
Follow the steps below to specify the query to be used to extract Neo4J data.
SELECT CategoryId, CategoryName FROM ProductCategory WHERE CategoryOwner = 'CData Software'๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Neo4J data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Neo4J data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the Neo4J SSIS Component to get started:
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๐ Neo4J IconPowerful SSIS Source & Destination Components that allows you to easily connect SQL Server with Neo4J through SSIS Workflows.
Use the Neo4J Data Flow Components to synchronize with Neo4J, and more. Perfect for data synchronization, local back-ups, workflow automation, and more!