Connect to Live Azure DevOps Data in MicroStrategy through CData Connect Cloud

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

As a cloud-based integration platform, Connect Cloud 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 live connection to Azure DevOps and connect from MicroStrategy to start performing analytics based on live Azure DevOps data.

Configure Azure DevOps Connectivity for Microstrategy

Connectivity to Azure DevOps from Microstrategy is made possible through CData Connect Cloud. To work with Azure DevOps data from Microstrategy, we start by creating and configuring a Azure DevOps connection.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Azure DevOps" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Azure DevOps. You can connect to your Azure DevOps account by providing the Organization and PersonalAccessToken.

   Obtaining a Personal Access Token

   A PersonalAccessToken is necessary for account authentication.

   To generate one, log in to your Azure DevOps Organization account and navigate to Profile -> Personal Access Tokens -> New Token. The generated token will be displayed.

   If you wish to authenticate to Azure DevOps using OAuth refer to the online Help documentation for an authentication guide.

4. Click Create & Test
5. Navigate to the Permissions tab in the Add Azure DevOps Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. Oa the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured, you are ready to connect to Azure DevOps data from MicroStrategy.

Connect to and Visualize Azure DevOps Data Using MicroStrategy

You can connect to Azure DevOps 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 DevOps 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: tds.cdata.com
   • Port Number: 14333
   • Database Name: the name of your Azure DevOps connection (e.g. AzureDevOps1)
   • User: a Connect Cloud user
   • Password: the PAT for your Connect Cloud user
   • Data Source Name: a name for the new external data source, like "CData Cloud Azure DevOps"
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 DevOps database (like AzureDevOps1).
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 DevOps 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 DevOps, 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 Cloud with MicroStrategy, you can easily create robust visualizations and reports on Azure DevOps data. For more information on connecting to Azure DevOps (and more than 100 other data sources), visit the Connect Cloud page. Sign up for a free trial and start working with live Azure DevOps data in MicroStrategy.