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Create SQL Analysis Services-Connected Visualizations in Klipfolio

Use the CData Cloud Hub to connect to SQL Analysis Services from Klipfolio and build custom visualizations using live SQL Analysis Services data.

Klipfolio is an online dashboard platform for building real-time business dashboards for your team or your clients. When paired with the CData Cloud Hub, you get instant, cloud-to-cloud access to SQL Analysis Services data for visualizations, reports, and more. This article shows how to create a virtual database for SQL Analysis Services in Cloud Hub and build visualizations from SQL Analysis Services data in Klipfolio.

The CData Cloud Hub provides a pure MySQL, cloud-to-cloud interface for SQL Analysis Services, allowing you to build reports from live SQL Analysis Services data in Klipfolio — without replicating the data to a natively supported database. As you create visualizations, Klipfolio 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 return the requested SQL Analysis Services data quickly.

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. Log into 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 Klipfolio.

Connect to SQL Analysis Services in Klipfolio

The steps below outline connecting to the CData Cloud Hub from Klipfolio to create a new SQL Analysis Services data source.

  1. Open Klipfolio
  2. Click in Data Sources to add a new data source
  3. Search for and select MySQL as the Service
  4. Click "Create a custom MySQL data source"
  5. Configure the data source by setting the MySQL connection properties:
    • Host: your instance (e.g., myinstance.cdatacloud.net)
    • Port: 3306
    • Database: your database (e.g., SSAS1)
    • Driver: MySQL
    • Username: your CloudHub username
    • Password: your CloudHub password
    • SQL Query: any query to retrieve data (e.g., SELECT * FROM Adventure_Works)
    • Select the checkbox to "Include column headers"
    • Select the checkbox to "Use SSL/TLS"
  6. Click "Get data" to preview the SQL Analysis Services data before building a data model.

Build a Data Model

After retrieving the data, click the checkbox to "Model your data" and click "Continue." In the new window, configure your data model.

  1. Confirm that the model includes all columns you wish to work with
  2. Name your model
  3. (optional) Set the Description
  4. Set "Header in row" to 1
  5. Click the toggle to "Exclude data before row" and set the value to 2
  6. Click "Save and Exit"

Create a Klip

With the data modeled, we are ready to create a Klip (or visualization) of the data to be used in the Klipfolio platform for dashboards, reporting, and more.

  1. Click "Create a Klip"
  2. Drag in a component
  3. For the Series, select the column whose count or aggregation you wish to visualize
  4. For the X Axis, select the column you wish to group by
  5. In the Properties tab for the X Axis, click the checkbox to "Group repeating labels"
  6. Click "Save"
  7. Set the Name & Description and click Save

SQL Access to SQL Analysis Services Data from Cloud Applications

Now you have a Klip built from live SQL Analysis Services data. You can add it to a new dashboard, share, and more. Easily create more data sources and new visualizations, produce 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, try the CData Cloud Hub.