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SQL Server databases are commonly used to store enterprise records. It is often necessary to move this data to other locations. The CData SSIS Task for Splunk allows you to easily transfer Splunk data. In this article you will export data from SQL Server to Splunk.
To get started, add a new ADO.NET Source control and a new Splunk Destination control to the data flow task.
π The source and destination components used in this example.Follow the steps below to specify properties required to connect to the SQL Server instance.
Follow the steps below to set required connection properties in the Connection Manager.
To authenticate requests, set the , , and properties to valid Splunk credentials. The port on which the requests are made to Splunk is port 8089.
The data provider uses plain-text authentication by default, since the data provider attempts to negotiate TLS/SSL with the server.
If you need to manually configure TLS/SSL, see Getting Started -> Advanced Settings in the data provider help documentation.
In the destination component Connection Manager, define mappings from the SQL Server source table into the Splunk destination table and the action you want to perform on the Splunk data. In this article, you will insert DataModels entities to Splunk.
You can now run the project. After the SSIS Task has finished executing, data from your SQL table will be exported to the chosen table.
π The SQL Server table to export into Splunk.Download a free trial of the Splunk SSIS Component to get started:
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π Splunk IconPowerful SSIS Source & Destination Components that allows you to easily connect SQL Server with live Splunk data through SSIS Workflows.
Use the Splunk Data Flow Components to synchronize with Datamodels, Datasets, SearchJobs, etc. Perfect for data synchronization, local back-ups, workflow automation, and more!