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MicroStrategy is an analytics and mobility platform that enables data-driven innovation. When you pair MicroStrategy with the CData JDBC Driver for Azure DevOps, you gain database-like access to live Azure DevOps data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through creating a database instance for Azure DevOps in MicroStrategy Developer and create a Warehouse Catalog for the Azure DevOps data.
The CData JDBC Driver offers unmatched performance for interacting with live Azure DevOps data in MicroStrategy due to optimized data processing built into the driver. When you issue complex SQL queries from MicroStrategy to Azure DevOps, the driver pushes supported SQL operations, like filters and aggregations, directly to Azure DevOps 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 Azure DevOps data using native MicroStrategy data types.
You can connect to Azure DevOps in MicroStrategy Developer by adding a database instance based on the CData JDBC Driver for Azure DevOps.* Before you begin, you will need to install the JDBC Driver for Azure DevOps on the machine hosting the MicroStrategy Intelligence Server that your instance of MicroStrategy Developer is connected to.
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.
For assistance in constructing the JDBC URL, use the connection string designer built into the Azure DevOps JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.azuredevops.jar
Fill in the connection properties and copy the connection string to the clipboard.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)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.
Typical additional connection string properties follow:
JDBC;MSTR_JDBC_JAR_FOLDER=PATH\TO\JAR\;DRIVER=cdata.jdbc.azuredevops.AzureDevOpsDriver;URL={jdbc:azuredevops:AuthScheme=Basic;Organization=MyAzureDevOpsOrganization;ProjectId=MyProjectId;PersonalAccessToken=MyPAT;InitiateOAuth=GETANDREFRESH;};
π Configuring the connection to Azure DevOps data using JDBC.With the database instance configured, you will now be able to connect to Azure DevOps data from the Warehouse Catalog and Data Import.
Once you have created a database instance based on the JDBC Driver for Azure DevOps, you can connect to data from the Warehouse Catalog.
SELECT * FROM SYS_TABLES
SELECT DISTINCT CatalogName NAME_SPACE, TableName TAB_NAME, ColumnName COL_NAME, DataTypeName DATA_TYPE, Length DATA_LEN, NumericPrecision DATA_PREC, NumericScale DATA_SCALE FROM SYS_TABLECOLUMNS WHERE TableName IN (#TABLE_LIST#) ORDER BY 1,2,3
Using the CData JDBC Driver for Azure DevOps in MicroStrategy, you can easily create robust visualizations and reports on Azure DevOps data. Read our other articles on connecting to Azure DevOps in MictroStrategy Web and connecting to Azure DevOps in MicroStrategy Desktop for more information.
Note: Connecting using a JDBC Driver requires a 3- or 4-Tier Architecture.
Download a free trial of the Azure DevOps Driver to get started:
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