Build Dynamics GP-Connected Dashboards in Redash

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CData Connect



Use CData Connect Cloud to create a virtual MySQL Database for Dynamics GP data and build visualizations and dashbaords from Dynamics GP data in Redash.

Redash lets you connect and query your data sources, build dashboards to visualize data and share them with your company. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to Dynamics GP data for visualizations, dashboards, and more. This article shows how to create a virtual database for Dynamics GP and build visualizations from Dynamics GP data in Redash.

CData Connect Cloud provides a pure MySQL, cloud-to-cloud interface for Dynamics GP, allowing you to easily build visualizations from Dynamics GP data in Redash. As you build visualizations, Redash generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to Dynamics GP, leveraging server-side processing to quickly return Dynamics GP data.

Create a Virtual MySQL Database for Dynamics GP Data

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

  1. Log into Connect Cloud and click Databases.
  2. Select "Dynamics GP" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Dynamics GP.

    To authenticate set the User and Password connection properties.

    To connect set the URL to the Web services endpoint; for example, http://{servername}:{port}/Dynamics/GPService. Additionally, set CompanyId; you can obtain this value in the company setup window: Click Tools -> Setup -> Company.

    By default, data summaries are not returned to save performance. Set LookupIds to true to return details such as line items; however, note that entities must be retrieved one at a time.

  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 build visualizations in Tableau Online.

Visualize Dynamics GP Data in Tableau Online

The steps below outline creating a new data source in Redash based on the virtual Dynamics GP database in Connect Cloud and building a simple visualization from the data.

Create a New Data Source

  1. Log into Redash, click on your profile and click "Data Sources"
  2. Click the " New Data Source" button
  3. Select "MySQL (Amazon RDS)" as the Data Source Type (CData Connect uses SSL, which the standard MySQL connection in Redash does not support)
  4. On the configuration tab, set the following properties:
    • Name: Name the data source (e.g. Dynamics GP (CData Connect))
    • Host: The full URL to your CData Connect instance (e.g. https://myinstance.cdatacloud.net)
    • Port: The port of the CData Connect MySQL endpoint (e.g. 3306)
    • User: A CData Connect user
    • Password: The password for the above user
    • Database name: The name of the virtual database for Dynamics GP (e.g. DynamicsGP1)
    • Click the checkbox to Use SSQL
  5. Click Create
  6. Click the "Test Connection" button to ensure you have configured the connection properly

With the new Data Source created, we are ready to visualize our Dynamics GP data.

Create a Dynamics GP Data Visualization

  1. Click Create -> New Query
  2. Select the newly created Data Source (you can explore the data structure in the New Query wizard)
  3. Write a SQL statement to retrieve the data, for example:
    SELECT CustomerName, TotalAmount FROM SalesInvoice
  4. Click the "Execute" button to load Dynamics GP data into Redash via CData Connect
  5. Use the Visualization Editor to create and analyze graphs from Dynamics GP data
  6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Dynamics GP Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Dynamics GP data from Redash. You can create new visualizations, build dashboards, and more. For more information on gaining SQL access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Redash, refer to our Connect Cloud page.