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CData Connect Server

Build Basecamp-Connected Dashboards in Redash



Use CData Connect Server to create a virtual SQL Server Database for Basecamp data and build visualizations and dashbaords from Basecamp 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 Server, you get instant, cloud-to-cloud access to Basecamp data for visualizations, dashboards, and more. This article shows how to create a virtual database for Basecamp and build visualizations from Basecamp data in Redash.

CData Connect Server provides a pure SQL Server interface for Basecamp, allowing you to easily build reports from live Basecamp data in Redash — without replicating the data to a natively supported database. As you build visualizations, Redash generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Basecamp, leveraging server-side processing to quickly return the requested Basecamp data.

Create a Virtual SQL Server Database for Basecamp Data

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

  1. Login to Connect Server and click Connections.
  2. Select "Basecamp" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Basecamp.

    Basecamp uses basic or OAuth 2.0 authentication. To use basic authentication you will need the user and password that you use for logging in to Basecamp. To authenticate to Basecamp via OAuth 2.0, you will need to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties by registering an app with Basecamp.

    See the Getting Started section in the help documentation for a connection guide.

    Additionally, you will need to specify the AccountId connection property. This can be copied from the URL after you log in.

  4. Click Save Changes
  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 Basecamp data from Redash.

Visualize Basecamp Data in Redash

The steps below outline creating a new data source in Redash based on the virtual Basecamp database in Connect Server 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 "Microsoft SQL Server" as the Data Source Type
  4. On the configuration tab, set the following properties:
    • Name: Name the data source (e.g. Basecamp (CData Connect))
    • Host: The full URL to your CData Connect instance (e.g. https://connect_server_url)
    • Port: The port of the CData Connect SQL Server endpoint (e.g. 1433)
    • User: A CData Connect user
    • Password: The password for the above user
    • Database name: The name of the virtual database for Basecamp (e.g. Basecamp1)
    • 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 Basecamp data.

Create a Basecamp 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 Name, DocumentsCount FROM Projects
  4. Click the "Execute" button to load Basecamp data into Redash via CData Connect
  5. Use the Visualization Editor to create and analyze graphs from Basecamp data
  6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Basecamp Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Basecamp 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 Server page.