Use the CData JDBC Driver for Browse AI in MicroStrategy Web

MicroStrategy is an analytics and mobility platform that enables data-driven innovation. When you pair MicroStrategy with the CData JDBC Driver for Browse AI, you gain database-like access to live Browse AI data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through adding Browse AI as an external data source in MicroStrategy Web and creating a simple visualization of Browse AI data.

The CData JDBC driver offers unmatched performance for interacting with live Browse AI data in MicroStrategy due to optimized data processing built into the driver. When you issue complex SQL queries from MicroStrategy to Browse AI, the driver pushes supported SQL operations, like filters and aggregations, directly to Browse AI and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Browse AI data using native MicroStrategy data types.

Connect to and Visualize Browse AI Data using MicroStrategy Web

You can connect to Browse AI in MicroStrategy Web by adding a data source based on the CData JDBC Driver for Browse AI.^* Before you begin, you will need install the JDBC Driver for Browse AI on the machine hosting the MicroStrategy Intelligence Server that your instance of MicroStrategy Web is connected to. Once you have created a data source you can build dynamic visualizations of Browse AI data in MicroStrategy Web.

1. Open MicroStrategy Web and select your project.
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 Generic in the Database menu and select Generic DBMS in the Version menu.
5. Click the link to show the connection string and opt to edit the connection string. In the Driver menu, select MicroStrategy Cassandra ODBC Driver (MicroStrategy requires a certified driver to interface through JDBC, the actual driver will not be used).
6. Set the connection string to the following:

   
   JDBC;MSTR_JDBC_JAR_FOLDER=PATH\TO\JAR\;DRIVER=cdata.jdbc.api.APIDriver;URL={jdbc:api:Profile=C:\profiles\BrowseAI.apip;AuthScheme=APIKey;ProfileSettings='APIKey=your_user_id:your_api_key';};
   

   

   Start by setting the Profile connection property to the location of the BrowseAI Profile on disk (e.g. C:\profiles\BrowseAI.apip). Next, set the ProfileSettings connection property to the connection string for BrowseAI (see below).

   BrowseAI API Profile Settings

   BrowseAI is a web scraping and automation platform that allows you to train robots to extract and monitor data from websites. Authentication is performed using an API key that is sent as a Bearer token in the Authorization header.

   The BrowseAI API key has the format {userId}:{apiKey}, where both parts are UUIDs separated by a colon. This full string is provided as a single value in the BrowseAI dashboard.

   To obtain your API key:

   1. Log in to your BrowseAI account at https://app.browse.ai
   2. Navigate to Settings in the dashboard
   3. Locate the API section
   4. Copy the full API key string displayed (format: userId:apiKey)

   After obtaining your API key, set the following connection properties:

   • AuthScheme: Set this to APIKey.

   Set the following in the ProfileSettings connection property:

   • APIKey: Set this to your BrowseAI API key (format: userId:apiKey).

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the Browse AI JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

   
   java -jar cdata.jdbc.api.jar
   

   Fill in the connection properties and copy the connection string to the clipboard.

   

   When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

7. Right-click on the new data source, and choose Edit catalog options.
8. Edit the SQL Statement to SELECT * FROM SYS_SCHEMAS to read the metadata from the JDBC Driver.
9. Select the new data source to view the available tables. You may need to manually click the search icon in the Available Tables section to see the tables.
10. Drag tables into the pane to import them. Note: Since we create a live connection, we can import whole tables and utilize the filtering and aggregation features native to the MicroStrategy products to customize our datasets.
11. Click Finish, choose to 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 JDBC drivers.
12. Choose a visualization, choose fields to display and apply any filters to create a new visualization of Browse AI 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 Browse AI, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the driver.
13. Once you have finished configuring the dossier, click File -> Save.

Using the CData JDBC Driver for Browse AI in MicroStrategy Web, you can easily create robust visualizations and reports on Browse AI data. Read our other articles on connecting to Browse AI in MicroStrategy and connecting to Browse AI in MicroStrategy Desktop for more examples.

Note: Connecting using a JDBC Driver requires a 3- or 4-Tier Architecture.