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This article shows how to use the CData JDBC Driver for SQL Analysis Services to connect to SQL Analysis Services from SAP BusinessObjects Business Intelligence applications. You will use the Information Design Tool to analyze SQL Analysis Services data and create a universe on the CData JDBC Driver for SQL Analysis Services. You will then connect to the universe from Web Intelligence.
Follow the steps below to create a connection to the SQL Analysis Services JDBC data source in the Information Design Tool.
On the next page, set the Authentication Mode option to "Use specified username and password". Enter the username, password, and JDBC URL. The JDBC URL begins with jdbc:ssas: and is followed by a semicolon-separated list of connection properties.
To connect, provide authentication and set the Url property to a valid SQL Server Analysis Services endpoint. You can connect to SQL Server Analysis Services instances hosted over HTTP with XMLA access. See the Microsoft documentation to configure HTTP access to SQL Server Analysis Services.
To secure connections and authenticate, set the corresponding connection properties, below. The data provider supports the major authentication schemes, including HTTP and Windows, as well as SSL/TLS.
Set AuthScheme to "Basic" or "Digest" and set User and Password. Specify other authentication values in CustomHeaders.
Set the Windows User and Password and set AuthScheme to "NTLM".
To authenticate with Kerberos, set AuthScheme to NEGOTIATE. To use Kerberos delegation, set AuthScheme to KERBEROSDELEGATION. If needed, provide the User, Password, and KerberosSPN. By default, the data provider attempts to communicate with the SPN at the specified Url.
By default, the data provider attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats.
You can then access any cube as a relational table: When you connect the data provider retrieves SSAS metadata and dynamically updates the table schemas. Instead of retrieving metadata every connection, you can set the CacheLocation property to automatically cache to a simple file-based store.
See the Getting Started section of the CData documentation, under Retrieving Analysis Services Data, to execute SQL-92 queries to the cubes.
For assistance in constructing the JDBC URL, use the connection string designer built into the SQL Analysis Services JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.ssas.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 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.
A typical JDBC URL is below:
jdbc:ssas:User=myuseraccount;Password=mypassword;URL=http://localhost/OLAP/msmdpump.dll;
You can use the JDBC connection to analyze SQL Analysis Services data in the Information Design Tool.
To publish the universe to the CMS, you additionally need to publish the connection.
You can follow the steps below to create a universe on the JDBC driver. The universe in this example will be published to a repository, so it uses the published connection created in the previous step.
You can follow the steps below to publish the universe to the CMS.
You can use the published universe to connect to SQL Analysis Services in Web Intelligence.
Download a free trial of the SQL Analysis Services Driver to get started:
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