Create an SAP BusinessObjects Universe on the CData JDBC Driver for LinkedIn

こんにちは！ドライバー周りのヘルプドキュメントを担当している古川です。

This article shows how to use the CData JDBC Driver for LinkedIn to connect to LinkedIn from SAP BusinessObjects Business Intelligence applications. You will use the Information Design Tool to analyze LinkedIn データ and create a universe on the CData JDBC Driver for LinkedIn. You will then connect to the universe from Web Intelligence.

Create the JDBC Connection to LinkedIn

Follow the steps below to create a connection to the LinkedIn JDBC data source in the Information Design Tool.

1. Copy the CData JAR and .lic file into the following subfolder in the installation directory for BusinessObjects: dataAccess\connectionServer\jdbc\drivers\jdbc. The CData JAR is located in the lib subfolder of the installation directory.
2. Right-click your project and click New -> New Relational Connection.
3. In the wizard that results, click Generic -> Generic JDBC datasource -> JDBC Drivers.
4. On the next page of the wizard enter the connection details.

5. On the next page, set the Authentication Mode option to "Use specified username and password". Enter the username, password, and JDBC URL. The JDBC URL begins with jdbc:linkedin: and is followed by a semicolon-separated list of connection properties.

   LinkedIn はOAuth 2 認証標準を使用します。LinkedIn にアプリを登録して、OAuthClientId およびOAuthClientSecret を取得する必要があります。 詳細はヘルプドキュメントを参照してください。

   A typical JDBC URL is below:

   jdbc:linkedin:OAuthClientId=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:portNumber;CompanyId=XXXXXXX
6. Enter the driver class: cdata.jdbc.linkedin.LinkedInDriver
7. Finish the wizard with the default values for connection pooling and custom parameters.

Analyze LinkedIn データ in the Information Design Tool

You can use the JDBC connection to analyze LinkedIn データ in the Information Design Tool.

1. In the Local Projects view, double-click the connection (the .cnx file) to open the LinkedIn data source.
2. 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.
3. On the Analysis tab, you can then analyze data by dragging and dropping 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.

1. In the Local Projects view, right-click the connection and click Publish Connection to a Repository.
2. Enter the host and port of the repository and connection credentials.
3. Select the folder where the connection will be published.
4. In the success dialog that results, click Yes to create a connection shortcut.

Create a Universe on the JDBC Driver for LinkedIn

You can follow the steps below to create a universe on the JDBC driver. The universe in this example will be published to a repository, so it uses the published connection created in the previous step.

1. In the Information Design Tool, click File->New Universe.
2. Select your project.
3. Select the option to create the universe on a relational data source.
4. Select the shortcut to the published connection.
5. Enter a name for the Data Foundation.
6. Import tables and columns that you want to access as objects.
7. Enter a name for the Business Layer.

Publish the Universe

You can follow the steps below to publish the universe to the CMS.

1. In the Local Projects view, right-click the business layer and click Publish -> To a Repository.
2. In the Publish Universe dialog, enter any integrity checks before importing.
3. Select or create a folder on the repository where the universe will be published.

Query LinkedIn データ in Web Intelligence

You can use the published universe to connect to LinkedIn in Web Intelligence.

1. Copy the cdata.jdbc.linkedin.lic file to the following subfolder in the BusinessObjects installation directory: \dataAccess\connectionServer\jdbc\drivers\jdbc. The license file is located in the lib subfolder of the installation directory.
2. Open Web Intelligence from the BusinessObjects launchpad and create a new document.
3. Select the Universe option for the data source.
4. Select the LinkedIn universe. This opens a Query Panel. Drag objects to the Result Objects pane to use them in the query.