Connect to Live Azure Data Catalog Data in MicroStrategy through CData Connect Server



Create a virtual database for Azure Data Catalog 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 Azure Data Catalog data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through creating a virtual database for Azure Data Catalog in Connect Server and connecting to Connect Server in MicroStrategy to create a simple visualization of Azure Data Catalog 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 Azure Data Catalog and connect from MicroStrategy to start performing analytics based on live Azure Data Catalog data.

Connect to Azure Data Catalog from MicroStrategy

To work with live Azure Data Catalog data in MicroStrategy, we need to create a virtual database for Azure Data Catalog in Connect Server.

Create a Virtual SQL Server Database for Azure Data Catalog 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 "Azure Data Catalog" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Azure Data Catalog.

    You can optionally set the following to read the different catalog data returned from Azure Data Catalog.

      CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name

    Connect Using OAuth Authentication

    You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.

  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 Azure Data Catalog data from MicroStrategy.

Connect to and Visualize Azure Data Catalog Data Using MicroStrategy

You can connect to Azure Data Catalog 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 Azure Data Catalog 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 Azure Data Catalog connection (e.g. AzureDataCatalog1)
    • User: a Connect Server user
    • Password: a Connect Server password
    • Data Source Name: a name for the new external data source, like "CData Connect Azure Data Catalog"
  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 Azure Data Catalog database (like AzureDataCatalog1).
  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 Azure Data Catalog 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 Azure Data Catalog, 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 Azure Data Catalog data. For more information on creating virtual databases for Azure Data Catalog (and more than 200 other data sources), visit the Connect Server page. Sign up for a free trial and start working with live Azure Data Catalog data in MicroStrategy.

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