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Sage US Connectivity Solutions

Consume Sage US OData Feeds in SAP Lumira



Use the API Server to create data visualizations on Sage US feeds that reflect any changes in SAP Lumira.

You can use the CData API Server and the ADO.NET Provider for Sage US (or any of 200+ other ADO.NET Providers) to create data visualizations based on Sage US data in SAP Lumira. The API Server enables connectivity to live data: dashboards and reports can be refreshed on demand. This article shows how to create a chart that is always up to date.

Set Up the API Server

Follow the steps below to begin producing secure Sage US OData services:

Deploy

The API Server runs on your own server. On Windows, you can deploy using the stand-alone server or IIS. On a Java servlet container, drop in the API Server WAR file. See the help documentation for more information and how-tos.

The API Server is also easy to deploy on Microsoft Azure, Amazon EC2, and Heroku.

Connect to Sage US

After you deploy the API Server and the ADO.NET Provider for Sage US, provide authentication values and other connection properties needed to connect to Sage US by clicking Settings -> Connection and adding a new connection in the API Server administration console.

The Application Id and Company Name connection string options are required to connect to Sage as a data source. You can obtain an Application Id by contacting Sage directly to request access to the Sage 50 SDK.

Sage must be installed on the machine. The Sage.Peachtree.API.dll and Sage.Peachtree.API.Resolver.dll assemblies are required. These assemblies are installed with Sage in C:/Program Files/Sage/Peachtree/API/. Additionally, the Sage SDK requires .NET Framework 4.0 and is only compatible with 32-bit applications. To use the Sage SDK in Visual Studio, set the Platform Target property to "x86" in Project -> Properties -> Build.

You must authorize the application to access company data: To authorize your application to access Sage, restart the Sage application, open the company you want to access, and connect with your application. You will then be prompted to set access permissions for the application in the resulting dialog.

While the compiled executable will require authorization only once, during development you may need to follow this process to reauthorize a new build. To avoid restarting the Sage application when developing with Visual Studio, click Build -> Configuration Manager and uncheck "Build" for your project.

When you configure the connection, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

You can then choose the Sage US entities you want to allow the API Server access to by clicking Settings -> Resources.

Authorize API Server Users

After determining the OData services you want to produce, authorize users by clicking Settings -> Users. The API Server uses authtoken-based authentication and supports the major authentication schemes. Access can also be restricted based on IP address; by default, only connections to the local machine are allowed. You can authenticate as well as encrypt connections with SSL.

Connect to Sage US from SAP Lumira

Follow the steps below to retrieve Sage US data into SAP Lumira. You can execute an SQL query or use the UI.

  1. In SAP Lumira, click File -> New -> Query with SQL. The Add New Dataset dialog is displayed.
  2. Expand the Generic section and click the Generic OData 2.0 Connector option.
  3. In the Service Root URI box, enter the OData endpoint of the API Server. This URL will resemble the following: https://your-server:8032/api.rsc
  4. In the User Name and Password boxes, enter the username and authtoken of an API user. These credentials will be used in HTTP Basic authentication.
  5. Select entities in the tree or enter an SQL query. This article imports Sage US Customer entities.

  6. When you click Connect, SAP Lumira will generate the corresponding OData request and load the results into memory. You can then use any of the data processing tools available in SAP Lumira, such as filters, aggregates, and summary functions.

Create Data Visualizations

After you have imported the data, you can create data visualizations in the Visualize room. Follow the steps below to create a basic chart.

  1. In the Measures and Dimensions pane, drag measures and dimensions onto the x-axis and y-axis fields in the Visualization Tools pane. SAP Lumira automatically detects dimensions and measures from the metadata service of the API Server.

    By default, the SUM function is applied to all measures. Click the gear icon next to a measure to change the default summary.

  2. In the Visualization Tools pane, select the chart type.
  3. In the Chart Canvas pane, apply filters, sort by measures, add rankings, and update the chart with the current Sage US data.