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Export Data from SQL Server to SQL Analysis Services through SSIS

Easily push SQL Server data to SQL Analysis Services using the CData SSIS Tasks for SQL Analysis Services.

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 SQL Analysis Services allows you to easily transfer SQL Analysis Services data. In this article you will export data from SQL Server to SQL Analysis Services.

Add Source and Destination Components

To get started, add a new ADO.NET Source control and a new SQL Analysis Services Destination control to the data flow task.

Configure the ADO.NET Source

Follow the steps below to specify properties required to connect to the SQL Server instance.

  1. Open the ADO.NET Source and add a new connection. Enter your server and database information here.
  2. In the Data access mode menu, select "Table or view" and select the table or view to export into SQL Analysis Services.
  3. Close the ADO NET Source wizard and connect it to the destination component.

Create a New Connection Manager for SQL Analysis Services

Follow the steps below to set required connection properties in the Connection Manager.

  1. Create a new connection manager: In the Connection Manager window, right-click and then click New Connection. The Add SSIS Connection Manager dialog is displayed.
  2. Select CData SSAS Connection Manager in the menu.
  3. Configure the connection properties. A typical connection requires:
    • User
    • Password
    • URL

    To connect, provide authentication and set the Url property to a valid SQL Server Analysis Services endpoint. You can connect to SQL Server Analysis Services instances hosted over HTTP with XMLA access. See the Microsoft documentation to configure HTTP access to SQL Server Analysis Services.

    To secure connections and authenticate, set the corresponding connection properties, below. The data provider supports the major authentication schemes, including HTTP and Windows, as well as SSL/TLS.

    • HTTP Authentication

      Set AuthScheme to "Basic" or "Digest" and set User and Password. Specify other authentication values in CustomHeaders.

    • Windows (NTLM)

      Set the Windows User and Password and set AuthScheme to "NTLM".

    • Kerberos and Kerberos Delegation

      To authenticate with Kerberos, set AuthScheme to NEGOTIATE. To use Kerberos delegation, set AuthScheme to KERBEROSDELEGATION. If needed, provide the User, Password, and KerberosSPN. By default, the data provider attempts to communicate with the SPN at the specified Url.

    • SSL/TLS:

      By default, the data provider attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats.

    You can then access any cube as a relational table: When you connect the data provider retrieves SSAS metadata and dynamically updates the table schemas. Instead of retrieving metadata every connection, you can set the CacheLocation property to automatically cache to a simple file-based store.

    See the Getting Started section of the CData documentation, under Retrieving Analysis Services Data, to execute SQL-92 queries to the cubes.

Configure the SQL Analysis Services Destination

In the destination component Connection Manager, define mappings from the SQL Server source table into the SQL Analysis Services destination table.

  1. Double-click the SQL Analysis Services destination to open the destination component editor.
  2. In the Connection Managers tab, select the connection manager previously created.
  • Specify the table into which the data will be exported: On the Component Properties tab, enter the table name in the TableName property, under the Custom Properties section. In this case, you will transfer Adventure_Works records.
  • On the Column Mappings tab, configure the mappings from the input columns to the destination columns.
  • Run the Project

    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.

     
     
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