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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 Splunk inside of a SQL Server SSIS workflow to transfer Splunk data into a Microsoft SQL Server database.
To get started, add a new Splunk 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 Splunk connection properties in a 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.
๐ Configuring a connection (Salesforce is shown).Follow the steps below to specify the query to be used to extract Splunk data.
SELECT Name, Owner FROM DataModels๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Splunk data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Splunk data.
๐ The completed import. (Salesforce is shown.)Download a free trial of the Splunk SSIS Component to get started:
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๐ 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!