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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 Datadog inside of a SQL Server SSIS workflow to transfer Datadog data into a Microsoft SQL Server database.
To get started, add a new Datadog 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 Datadog connection properties in a connection manager.
Start by setting the Profile connection property to the location of the Datadog Profile on disk (e.g. C:\profiles\Datadog.apip). Next, set the ProfileSettings connection property to the connection string for Datadog (see below).
In your Datadog account, navigate to Organization Settings > API Keys to create an API Key, and Organization Settings > Application Keys to create an Application Key. Both are required.
๐ Configuring a connection (Salesforce is shown).Follow the steps below to specify the query to be used to extract Datadog data.
SELECT FilterId, Name FROM APMRetentionFilters WHERE IsEnabled = 'true'๐ The SQL query to retrieve records. (Salesforce is shown.)
Follow the steps below to specify the SQL server table to load the Datadog data into.
You can now run the project. After the SSIS Task has finished executing, your database will be populated with Datadog data.
๐ The completed import. (Salesforce is shown.)Connect to live data from Datadog with the API Driver
Connect to Datadog