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Analyze Amazon S3 Data in SAP Analytics Cloud



Use CData Connect Cloud to create an OData API on top of Amazon S3 data and visualize live Amazon S3 data in SAP Analytics Cloud.

SAP Analytics Cloud is a cloud-based business intelligence platform. CData Connect Cloud creates a live connection to Amazon S3 and can be used to generate an OData API (natively supported in Analytics Cloud) for Amazon S3. By pairing SAP Analytics Cloud with CData Connect Cloud, you get true cloud-to-cloud 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 Cloud as you would any other OData service and get instant, live access to all of your data.

In this article, we walk through connecting to Amazon S3 from SAP Analytics Cloud (through CData Connect Cloud) to create a model and build a simple dashboard.

Connect to Amazon S3 from SAP Analytics Cloud

To work with live Amazon S3 data in SAP Analytics Cloud, we need to connect to Amazon S3 from Connect Cloud, provide user access to the connection, and create OData endpoints for the Amazon S3 data.

(Optional) Add a New Connect Cloud User

As needed, create Users to connect to Amazon S3 through Connect Cloud.

  1. Navigate to the Users page and click Invite Users
  2. Enter the new user's email address and click Send to invite the user
  3. You can review and edit users from the Users page

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

  1. Click on your username at the top right of the Connect Cloud app and click User Profile.
  2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
  3. Give your PAT a name and click Create.
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Connect to Amazon S3 from Connect Cloud

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

  1. Log into Connect Cloud, click Connections and click Add Connection
  2. Select "Amazon S3" from the Add Connection panel
  3. Enter the necessary authentication properties to connect to Amazon S3.

    To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

    Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

    For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.

  4. Click Create & Test
  5. Navigate to the Permissions tab in the Add Amazon S3 Connection page and update the User-based permissions.

Add Amazon S3 OData Endpoints in Connect Cloud

After connecting to Amazon S3, create OData Endpoints for the desired table(s).

  1. Navigate to the OData page and click Add to create new OData endpoints
  2. Select the Amazon S3 connection (e.g. AmazonS31) and click Next
  3. Select the table(s) you wish to work with and click Confirm

With the connection and OData endpoints configured, you are ready to connect to Amazon S3 data from SAP Analytics Cloud.

Create a Model of Amazon S3 Data in SAP Analytics Cloud

With the connection to Amazon S3 configured and the OData endpoint(s) created, we can create a Model for Amazon S3 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 Cloud OData or Create a new one:
    • Set Connection Name
    • Set Data Service URL to the Base URL for your OData API: https://cloud.cdata.com/api/odata/service
    • Set Authentication Type to Basic Authentication
    • Set User Name to the Connect Cloud user (e.g. user@mydomain.com)
    • Set Password to the PAT for the above user
  4. Choose "Create a new query" and click Next
  5. Name the Execute, select an OData endpoint (like ObjectsACL) 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 Amazon S3 data.

  1. From the menu, click Create -> Story
  2. Click on 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 store

More Information & Free Trial

Now, you have created a simple but powerful dashboard from live Amazon S3 data. For more information on creating OData feeds from Amazon S3 (and more than 100 other data sources), visit the Connect Cloud page. Sign up for a free trial and start working with live Amazon S3 data in SAP Analytics Cloud.