Ready to get started?

Learn more about CData Cloud Hub or sign up for a free trial:

Learn More

Integrate SQL Analysis Services Data into Automated Tasks with Microsoft Flow

Use the CData Cloud Hub to create a virtual SQL Server database for SQL Analysis Services data and integrate live SQL Analysis Services data into your Microsoft Flow tasks.

Microsoft Flow is an online workflow service that automates events (known as workflows) across the most common apps and services. 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 connect to the Cloud Hub from Microsoft Flow and integrate live SQL Analysis Services data into your workflows and tasks.

The CData Cloud Hub provides a pure SQL, cloud-to-cloud interface for SQL Analysis Services, allowing you to easily integrate with live SQL Analysis Services data in Microsoft Flow — without replicating the data. The CData Cloud Hub looks exactly like a SQL Server database to Microsoft Flow and uses optimized data processing out of the box to push 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 SQL 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.

Connecting to the CData Cloud Hub

To use the Cloud Hub to integrate SQL Analysis Services data into your Flow tasks, you need a new SQL Server connection:

  1. Log in to Microsoft Flow
  2. Click Data -> Connections -> New connection
  3. Select SQL Server
  4. In the connection wizard:

    • Choose to connect directly
    • Set SQL server name to the address of your Cloud Hub instance (myinstance.cdatacloud.net)
    • Set SQL database name to the name of the virtual SQL Analysis Services database you created earlier (like ssasdb)
    • Set the Username and Password and click Create

Integrating SQL Analysis Services Data into MS Flow Tasks

With the connection to the Cloud Hub configured, you are ready to integrate live SQL Analysis Services data into your Microsoft Flow tasks.

  1. Log in to Microsoft Flow
  2. Click My flows -> New and choose to create the flow from blank or template
  3. Add (or configure) a SQL Server action (like Get rows) and configure the action to connect to your Cloud Hub connection
  4. Select a Table to work with (from the drop-down menu) and configure any advanced options (like filters, orders, etc)
  5. Configure any actions to follow and test, then save the flow

SQL Access to SQL Analysis Services Data from Cloud Applications

Now you have a direct connection to live SQL Analysis Services data from Microsoft Flow tasks. You can create more connections and workflows to drive business — 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.