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Create Reports from SQL Analysis Services Data in Google Data Studio

Use the CData Cloud Hub to create a virtual MySQL Database for SQL Analysis Services data and create custom reports in Google Data Studio.

Google Data Studio allows you to create branded reports with data visualizations to share with your clients. When paired with the CData Cloud Hub, you get instant, cloud-to-cloud access to SQL Analysis Services data for visualizations, dashboards, and more. This article shows how to use a MySQL client to create a virtual database for SQL Analysis Services and build reports from SQL Analysis Services data in Google Data Studio.

The CData Cloud Hub provides a pure MySQL, cloud-to-cloud interface for SQL Analysis Services, allowing you to easily build reports from live SQL Analysis Services data in Google Data Studio — without replicating the data to a natively supported database. As you build visualizations, Google Data Studio generates SQL queries to gather data. Using optimized data processing out of the box, the CData Cloud Hub pushes all supported SQL operations (filters, JOINs, etc) directly to SQL Analysis Services, leveraging server-side processing to quickly return SQL Analysis Services data.

Create a Virtual MySQL Database for SQL Analysis Services Data

CData Cloud Hub uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Cloud Hub and click Databases.
  2. Select "SQL Analysis Services" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to SQL Analysis Services.

    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.

  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to SQL Analysis Services data from any MySQL client.

Visualize Live SQL Analysis Services Data in Google Data Studio

The steps below outline connecting to the CData Cloud Hub from Google Data Studio to create a new SQL Analysis Services data source and build a simple visualization from the data.

  1. Log into Google Data Studio, click data sources, create a new data source and choose MySQL.
  2. Choose the basic configuration and set the connection properties:
    • Host name or IP: myinstance.cdatacloud.net
    • Port: 3306
    • Database: ssasdb
    • Username: your Cloud Hub username
    • Password: your Cloud Hub password
    • Click Enable SSL, then upload the certificates
  3. Click Authenticate
  4. Select the table to visualize or enter a custom query and click Connect.
    NOTE: JOINs are not supported in the user interface, but they are supported as custom queries.
  5. If needed, modify columns, click Create Report and add the data source to the report.
  6. Select a visualization style and add it to the report.
  7. Select Dimensions and Measures to customize your visualization.

SQL Access to SQL Analysis Services Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live SQL Analysis Services data from your Google Data Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating SQL Analysis Services data.

To get SQL data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, see the CData Cloud Hub.