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CData Connect Server

Connect to Live SQL Analysis Services Data in MicroStrategy through CData Connect Server



Create a virtual database for SQL Analysis Services in CData Connect Server and connect to it from MicroStrategy.

MicroStrategy is an analytics and mobility platform that enables data-driven innovation. When you pair MicroStrategy with CData Connect Server, you gain database-like access to live SQL Analysis Services data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through creating a virtual database for SQL Analysis Services in Connect Server and connecting to Connect Server in MicroStrategy to create a simple visualization of SQL Analysis Services data.

As a hosted integration platform, Connect Server is ideal for working with cloud-based BI and analytics tools. With no servers to configure or data proxies to set up, you can simply use the web-based UI to create a virtual database for SQL Analysis Services and connect from MicroStrategy to start performing analytics based on live SQL Analysis Services data.

Connect to SQL Analysis Services from MicroStrategy

To work with live SQL Analysis Services data in MicroStrategy, we need to create a virtual database for SQL Analysis Services in Connect Server.

Create a Virtual SQL Server Database for SQL Analysis Services Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Connect Server and click Connections.
  2. Select "SQL Analysis Services" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to SQL Analysis Services.

    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.

  4. Click Save Changes
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to SQL Analysis Services data from MicroStrategy.

Connect to and Visualize SQL Analysis Services Data Using MicroStrategy

You can connect to SQL Analysis Services in MicroStrategy by adding a data source based on the native SQL Server functionality. Once you have created a data source, you can build dynamic visualizations of SQL Analysis Services data in MicroStrategy.

  1. Open MicroStrategy and select your account.
  2. Click Add External Data, select Databases, and use Select Tables as the Import Option.
  3. In the Import from Tables wizard, click to add a new Data Source.
  4. Select "SQL Server" in the Database menu and select "SQL Server 2017" in the Version menu.
  5. Sat the connection properties as follows:
    • Server Name: e.g. connect_server_url
    • Port Number: 1433
    • Database Name: the name of your SQL Analysis Services connection (e.g. SSAS1)
    • User: a Connect Server user
    • Password: a Connect Server password
    • Data Source Name: a name for the new external data source, like "CData Connect SQL Analysis Services"
  6. Expand the menu for the new data source and choose "Edit Catalog Options"
  7. Edit the "SQL statement retrieve columns ..." query to include TABLE_SCHEMA = '#?Schema_Name?#' in the WHERE clause, and click Apply and then OK (the complete query is below).

    SELECT DISTINCT 
      TABLE_SCHEMA NAME_SPACE, 
      TABLE_NAME TAB_NAME, 
      COLUMN_NAME COL_NAME, 
      (CASE 
        WHEN 
          (DATA_TYPE LIKE '%char' AND (CHARACTER_SET_NAME='utf8' OR CHARACTER_SET_NAME='usc2')) 
        THEN 
          CONCAT('a',DATA_TYPE) 
        ELSE 
          DATA_TYPE 
      END) DATA_TYPE, 
      CHARACTER_MAXIMUM_LENGTH DATA_LEN, 
      NUMERIC_PRECISION DATA_PREC, 
      NUMERIC_SCALE DATA_SCALE 
    FROM 
      INFORMATION_SCHEMA.COLUMNS 
    WHERE 
      TABLE_NAME 
    IN 
      (#TABLE_LIST#) AND TABLE_SCHEMA='#?Schema_Name?#' 
    ORDER BY 
      1,2,3
    
  8. Select the new data source and select the Namespace that corresponds to your virtual SQL Analysis Services database (like SSAS1).
  9. Drag tables into the pane to insert then. Note: Since we create a live connection, we can insert whole tables and utilize the filtering and aggregation features native to the MicroStrategy products to customize our datasets.
  10. Click Finish, choose the option to connect live, save the query, and choose the option to create a new dossier. Live connections are possible and effective, thanks to high-performance data processing native to CData Connect Cloud.
  11. Choose a visualization, choose fields to display, and apply any filters to create a new visualization of SQL Analysis Services data. Data types are discovered automatically through dynamic metadata discovery. Where possible, the complex queries generated by the filters and aggregations will be pushed down to SQL Analysis Services, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed by the CData SQL engine embedded in Connect Cloud.
  12. Once you have finished configuring the dossier, click File -> Save.

Using CData Connect Server with MicroStrategy, you can easily create robust visualizations and reports on SQL Analysis Services data. For more information on creating virtual databases for SQL Analysis Services (and more than 200 other data sources), visit the Connect Server page. Sign up for a free trial and start working with live SQL Analysis Services data in MicroStrategy.