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Create an SQL Analysis Services Data Source for Denodo Platform

Use the CData JDBC Driver for SQL Analysis Services to create a virtual data source for SQL Analysis Services data in the Denodo Virtual DataPort Administrator.

Denodo Platform is a data virtualization product providing a single point of contact for enterprise database data. When paired with the CData JDBC Driver for SQL Analysis Services, Denodo users can work with live SQL Analysis Services data alongside other enterprise data sources. This article walks through creating a virtual data source for SQL Analysis Services in the Denodo Virtual DataPort Administrator.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live SQL Analysis Services data. When you issue complex SQL queries to SQL Analysis Services, the driver pushes supported SQL operations, like filters and aggregations, directly to SQL Analysis Services and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze SQL Analysis Services data using native data types.

Create an SQL Analysis Services Virtual Port

To connect to live SQL Analysis Services data from Denodo, you need to copy the JDBC Driver JAR file to the external library directory for Denodo and create a new JDBC Data Source from the Virtual DataPort Administrator tool.

  1. Download the CData JDBC Driver for SQL Analysis Services installer, unzip the package, and run the JAR file to install the driver.
  2. Copy the JAR File (and license file if it exists) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for SQL Analysis Services\lib\) to the Denodo external library directory (C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-ssas-19).
  3. Open the Denodo Virtual DataPort Administrator tool and navigate to the Server Explorer tab.
  4. Right-click "admin" and select New -> Data source -> JDBC.
  5. Configure the JDBC Connection:
    • Name: your choice, e.g.: ssas
    • Database adapter: Generic
    • Driver class path: C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-ssas-19
    • Driver class: cdata.jdbc.ssas.SSASDriver
    • Database URI: Set this to a JDBC URL using the necessary connection properties. For example,

      jdbc:ssas:User=myuseraccount;Password=mypassword;URL=http://localhost/OLAP/msmdpump.dll;

      Information on creating the Database URI follows:

      Built-In Connection String Designer

      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.

      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.

      • HTTP Authentication

        Set AuthScheme to "Basic" or "Digest" and set User and Password. Specify other authentication values in CustomHeaders.

      • Windows (NTLM)

        Set the Windows User and Password and set AuthScheme to "NTLM".

      • Kerberos and Kerberos Delegation

        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.

      • SSL/TLS:

        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.

  6. Click the "Test connection" button to confirm the configuration and click Save.

View SQL Analysis Services Data in the VirtualPort Administrator Tool

After creating the data source, you can create a base view of SQL Analysis Services data for use in the Denodo Platform.

  1. Click the "Create base view" button in the newly created VirtualPort (admin.SSAS).
  2. Expand the object tree and select the objects (tables) you wish to import.
  3. Click the "Create selected" button to create views of the SQL Analysis Services data.
    Optional: Click "Create associations from foreign keys" to define relationships between the objects.
  4. With the view(s) created, navigate to a table (cdata_ssas_adventure_works) in the Server Explorer and double-click the selected table.
  5. In the new tab, click "Execution panel" to open a query panel.
  6. Customize the query in the "Execute" tab or use the default:
    SELECT * FROM cdata_ssas_adventure_works CONTEXT ('i18n'='us_est', 'cache_wait_for_load'='true')
    
  7. Click Execute to view the data.

With the base view created, you can now work with live SQL Analysis Services data like you would any other data source in Denodo Platform, for example, querying SQL Analysis Services in the Denodo Data Catalog.

Download a free, 30-day trial of the CData JDBC Driver for SQL Analysis Services and start working with your live SQL Analysis Services data in Denodo Platform. Reach out to our Support Team if you have any questions.