Build Sage 50 UK-Connected Dashboards 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 Sage 50 UK data for visualizations, dashboards, and more. This article shows how to create a virtual database for Sage 50 UK and build visualizations from Sage 50 UK data in Redash.

CData Connect Server provides a pure SQL Server interface for Sage 50 UK, allowing you to easily build reports from live Sage 50 UK 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 Sage 50 UK, leveraging server-side processing to quickly return the requested Sage 50 UK data.

Create a Virtual SQL Server Database for Sage 50 UK 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 "Sage 50 UK" from Available Data Sources.
3. Enter the necessary authentication properties to connect to Sage 50 UK.

   Note: Only Sage 50 UK 2012 and above are supported.

   The User and Password properties, under the Connection section, must be set to valid Sage 50 UK user credentials. These values will be the same used to log in to the Sage 50 UK software.

   Additionally, the URL property, under the Connection section, will need to be set to the address of the company dataset desired. To obtain the address, do the following:

   1. If you have not already done so, open the Sage 50 UK software.
   2. Click Tools -> Internet Options.
   3. Select the SData Settings tab.
   4. Click the Details button next to Sage 50 Accounts. A window is displayed containing a list of company names along with the address to their corresponding datasets.
   5. Set the URL property to the value in the address field next to the company desired.
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 Sage 50 UK data from Redash.

Visualize Sage 50 UK Data in Redash

The steps below outline creating a new data source in Redash based on the virtual Sage 50 UK 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. Sage 50 UK (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 Sage 50 UK (e.g. Sage50UK1)
   • 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 Sage 50 UK data.

Create a Sage 50 UK 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, FinanceBalance FROM TradingAccounts
4. Click the "Execute" button to load Sage 50 UK data into Redash via CData Connect
5. Use the Visualization Editor to create and analyze graphs from Sage 50 UK data
6. You can schedule the query to refresh and update the visualization periodically

SQL Access to Sage 50 UK Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to Sage 50 UK 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.