Connect to Live REST 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 REST data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through connecting to REST in Connect Cloud and connecting to Connect Cloud in MicroStrategy to create a simple visualization of REST 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 REST and connect from MicroStrategy to start performing analytics based on live REST data.

Configure REST Connectivity for Microstrategy

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

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "REST" from the Add Connection panel
3. Enter the necessary authentication properties to connect to REST.

   See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models REST APIs as bidirectional database tables and XML/JSON files as read-only views (local files, files stored on popular cloud services, and FTP servers). The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. See the Getting Started chapter in the data provider documentation for authentication guides.

   After setting the URI and providing any authentication values, set Format to "XML" or "JSON" and set DataModel to more closely match the data representation to the structure of your data.

   The DataModel property is the controlling property over how your data is represented into tables and toggles the following basic configurations.

   • Document (default): Model a top-level, document view of your REST data. The data provider returns nested elements as aggregates of data.
   • FlattenedDocuments: Implicitly join nested documents and their parents into a single table.
   • Relational: Return individual, related tables from hierarchical data. The tables contain a primary key and a foreign key that links to the parent document.

   See the Modeling REST Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.

   
4. Click Create & Test
5. Navigate to the Permissions tab in the Add REST 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 REST data from MicroStrategy.

Connect to and Visualize REST Data Using MicroStrategy

You can connect to REST 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 REST 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 REST connection (e.g. REST1)
   • 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 REST"
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 REST database (like REST1).
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 REST 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 REST, 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 REST data. For more information on connecting to REST (and more than 100 other data sources), visit the Connect Cloud page. Sign up for a free trial and start working with live REST data in MicroStrategy.