Analyze Harvest Data in SAP Analytics Cloud

SAP Analytics Cloud is a cloud-based business intelligence platform. The CData Connect Server creates a virtual database for Harvest and can be used to generate an OData API (natively consumable in Analytics Cloud) for Harvest. By pairing SAP Analytics Cloud with the CData Connect Server, you get direct connectivity to all of your SaaS and cloud-based Big Data and NoSQL sources — no need to migrate your data or write your integrations. Simply connect to Connect Server as you would any other OData service and get instant, consolidated access to all of your data.

In this article, we walk through connecting to Harvest in Connect Server and connecting to Connect Server from Analytics Cloud to create a model and build a simple dashboard.

Configure Connect Server to Connect to Harvest

To connect to Harvest data from SAP Analytics Cloud, you need to configure Harvest access from your Connect Server instance. This means creating a user, connecting to Harvest, adding OData endpoints, and (optionally) configuring CORS.

Add a Connect Server User

Create a User to connect to Harvest from Analytics Cloud through Connect Server.

1. Click Users -> Add
2. Configure a User
3. Click Save Changes and make note of the Authtoken for the new user

Connect to Harvest from Connect Server

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

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

   Start by setting the Profile connection property to the location of the Harvest Profile on disk (e.g. C:\profiles\Harvest.apip). Next, set the ProfileSettings connection property to the connection string for Harvest (see below).

   Harvest API Profile Settings

   To authenticate to Harvest, you can use either Token authentication or the OAuth standard. Use Basic authentication to connect to your own data. Use OAuth to allow other users to connect to their data.

   Using Token Authentication

   To use Token Authentication, set the APIKey to your Harvest Personal Access Token in the ProfileSettings connection property. In addition to APIKey, set your AccountId in ProfileSettings to connect.

   Using OAuth Authentication

   First, register an OAuth2 application with Harvest. The application can be created from the "Developers" section of Harvest ID.

   After setting the following connection properties, you are ready to connect:

   • ProfileSettings: Set your AccountId in ProfileSettings.
   • AuthScheme: Set this to OAuth.
   • OAuthClientId: Set this to the client ID that you specified in your app settings.
   • OAuthClientSecret: Set this to the client secret that you specified in your app settings.
   • CallbackURL: Set this to the Redirect URI that you specified in your app settings.
   • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage how the driver obtains and refreshes the OAuthAccessToken.
4. Click Save Changes
5. Click Privileges -> Add, and add the new user (or an existing user) with the appropriate permissions (SELECT is all that is required for Reveal)

Add Harvest OData Endpoints in Connect Server

After connecting to Harvest, create OData Endpoint for the desired table(s).

1. Click OData -> Tables -> Add Tables
2. Select the Harvest database
3. Select the table(s) you wish to work with and click Next
4. (Optional) Edit the resource to select specific fields and more
5. Save the settings

(Optional) Configure Cross-Origin Resource Sharing (CORS)

When accessing and connecting to multiple different domains from an application such as Ajax, there is a possibility of violating the limitations of cross-site scripting. In that case, configure the CORS settings in OData -> Settings.

• Enable cross-origin resource sharing (CORS): ON
• Allow all domains without '*': ON
• Access-Control-Allow-Methods: GET, PUT, POST, OPTIONS
• Access-Control-Allow-Headers: Authorization

Save the changes to the settings.

Create a Model of Harvest Data in SAP Analytics Cloud

With the connection to Harvest configured and the OData endpoint(s) created, we can create a Model for Harvest data in SAP Analytics Cloud.

1. Log into your Analytics Cloud instance and click Create -> Model from the menu.
2. Choose "Get data from a datasource" and select "OData Services"
3. Choose an existing connection to your Connect Server OData or Create a new one:
   • Set "Connection Name"
   • Set "Data Service URL" to the Base URL for your OData API (typically: CONNECT_SERVER_URL/api.rsc)
   • Set "Authentication Type" to Basic Authentication
   • Set "User Name" to the Connect Server user you configured earlier
   • Set "Password" to the Authtoken for the above user
4. Choose "Create a new query" and click Next
5. Name the Query, select an OData endpoint (like apidb_Invoices) and click Next
6. Drag the columns you wish to work with into the Selected Data workspace and click Create
7. At this point, a Draft Data source is created; click the draft to finalize the model
8. Perform any transformations, including creating calculated dimensions, location dimensions, and combining data sources, then click Create Model
9. Name your model and click OK

Build a Dashboard in SAP Analytics Cloud

With the model created, you are ready to create a dashboard in SAP Analytics Cloud based on Harvest data.

1. From the menu, click Create -> Story
2. Click an SAP Analytics Template (this article uses the "Dashboard" template)
3. Choose a layout and click Apply
4. From the More menu, select a visualization to insert (Chart)
5. Select a model to visualize
6. Select a structure and the required Measures and Dimensions
7. Save the story

More Information & Free Trial

Now, you have created a simple but powerful dashboard from live Harvest data. For more information on creating OData feeds from Harvest (and more than 200 other data sources), visit the Connect Server page. Sign up for a free trial and start working with live Harvest data in SAP Analytics Cloud.