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Get the Report →Create an SAP BusinessObjects Universe on the CData ODBC Driver for Amazon S3
Provide connectivity to Amazon S3 data through an SAP BusinessObjects universe.
This article shows how to create and publish an SAP BusinessObjects universe on the CData ODBC Driver for Amazon S3. You will connect to Amazon S3 data from the Information Design Tool as well as the Web Intelligence tool.
Connect to Amazon S3 as an ODBC Data Source
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
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.
When you configure the DSN, 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.
Create an ODBC Connection to Amazon S3 Data
This section shows how to create a connection to the Amazon S3 ODBC data source in the Information Design Tool. After you create a connection, you can analyze data or create a BusinessObjects universe.
Right-click your project and click New -> New Relational Connection.
- In the wizard that is displayed, enter a name for the connection.
Select Generic -> Generic ODBC datasource -> ODBC Drivers and select the DSN.
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Finish the wizard with the default values for connection pooling and custom parameters.
Analyze Amazon S3 Data in the Information Design Tool
In the Information Design Tool, you can use both published and local ODBC connections to browse and query data.
In the Local Projects view, double-click the connection (the .cnx file) to open the Amazon S3 data source.
On the Show Values tab, you can load table data and enter SQL queries. To view table data, expand the node for the table, right-click the table, and click Show Values. Values will be displayed in the Raw Data tab.
On the Analysis tab, you can drag and drop columns onto the axes of a chart.
Publish the Local Connection
To publish the universe to the CMS, you additionally need to publish the connection.
In the Local Projects view, right-click the connection and click Publish Connection to a Repository.
Enter the host and port of the repository and connection credentials.
Select the folder where the connection will be published.
In the success dialog that results, click Yes to create a connection shortcut.
Create a Universe on the ODBC Driver for Amazon S3
You can follow the steps below to create a universe on the ODBC driver for Amazon S3. The universe in this example will be published to a repository, so it uses the published connection created in the previous step.
In the Information Design Tool, click File->New Universe.
Select your project.
Select the option to create the universe on a relational data source.
Select the shortcut to the published connection.
Enter a name for the Data Foundation.
Import tables and columns that you want to access as objects.
Enter a name for the Business Layer.
Publish the Universe
You can follow the steps below to publish the universe to the CMS.
In the Local Projects view, right-click the business layer and click Publish -> To a Repository.
In the Publish Universe dialog, enter any integrity checks before importing.
Select or create a folder on the repository where the universe will be published.
Query Amazon S3 Data in Web Intelligence
You can use the published universe to connect to Amazon S3 in Web Intelligence.
Open Web Intelligence from the BusinessObjects launchpad and create a new document.
Select the Universe option for the data source.
Select the Amazon S3 universe. This opens a Query Panel. Drag objects to the Result Objects pane to use them in the query.