Ready to get started?

Learn more about the CData JDBC Driver for Google Analytics or download a free trial:

Download Now

Oracle Data Integrator ETL からGoogle Analytics データ連携

この記事では、Oracle Data Integratorを使用してGoogle Analytics data をデータウェアハウスに転送する方法を説明します。

Google Analytics への接続にJDBC 標準を使用して既存のスキルを活用します。 CData JDBC Driver for Google Analytics は、Oracle Data Integrator(ODI)などのETL ツールへの統合によって、リアルタイムのGoogle Analytics data をデータウェアハウス、ビジネスインテリジェンス、およびビッグデータテクノロジに連携します。

JDBC 接続を使用すると、ODI 内の他のデータベースと同じようにGoogle Analytics を使用できます。RDBMS やフラットファイルを使用する代わりに、ドライバーを使用してリアルタイムでGoogle Analytics API に直接連携できます。

ここでは、JDBC を利用したGoogle Analytics - Oracle のETL 連携を行います。Google Analytics エンティティのデータモデルをリバースエンジニアリングした後、マッピングを作成してだdata loading strategy を選択します。ドライバーはSQL-92 をサポートしているため、この最後の手順は組み込みSQL からSQL Loading を選択することで簡単に行えます。

ドライバーをインストール

To install the driver, copy the driver JAR and .lic file, located in the installation folder, into the ODI userlib directory:

On Unix: ~/.odi/oracledi/userlib On Windows: %APPDATA%\Roaming\odi\oracledi\userlib

Restart ODI to complete the installation.

モデルのリバースエンジニアリング

Reverse engineering the model retrieves metadata about the driver's relational view of Google Analytics data.After reverse engineering, you can query real-time Google Analytics data and create mappings based on Google Analytics tables.

  1. In ODI, connect to your repository and click New -> Model and Topology Objects.
  2. On the Model screen of the resulting dialog, enter the following information:
    • Name:Enter GoogleAnalytics.
    • Technology:Select Generic SQL.
    • Logical Schema:Enter GoogleAnalytics.
    • Context:Select Global.
  3. On the Data Server screen of the resulting dialog, enter the following information:
    • Name:Enter GoogleAnalytics.
    • Driver List:Select Oracle JDBC Driver.
    • Driver:Enter cdata.jdbc.googleanalytics.GoogleAnalyticsDriver
    • URL:Enter the JDBC URL containing the connection string.

      Google uses the OAuth authentication standard. To access Google APIs on behalf on individual users, you can use the embedded credentials or you can register your own OAuth app.

      OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.

      In addition to the OAuth values, set Profile to the profile you want to connect to. This can be set to either the Id or website URL for the Profile. If not specified, the first Profile returned will be used.

      ビルトイン接続文字列デザイナー

      For assistance in constructing the JDBC URL, use the connection string designer built into the Google Analytics JDBC Driver.Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.googleanalytics.jar

      Fill in the connection properties and copy the connection string to the clipboard.

      Below is a typical connection string:

      jdbc:googleanalytics:Profile=MyProfile;InitiateOAuth=GETANDREFRESH
  4. On the Physical Schema screen, enter the following information:
    • Schema (Schema):Enter GoogleAnalytics.
    • Schema (Work Schema):Enter GoogleAnalytics.
  5. In the opened model click Reverse Engineer to retrieve the metadata for Google Analytics tables.

Google Analytics Data を編集して保存

After reverse engineering you can now work with Google Analytics data in ODI. To view Google Analytics data, expand the Models accordion in the Designer navigator, right-click a table, and click View data.

ETL プロジェクトを作成

Follow the steps below to create an ETL from Google Analytics.You will load Traffic entities into the sample data warehouse included in the ODI Getting Started VM.

  1. Open SQL Developer and connect to your Oracle database.Right-click the node for your database in the Connections pane and click new SQL Worksheet.

    Alternatively you can use SQLPlus.From a command prompt enter the following:

    sqlplus / as sysdba
  2. Enter the following query to create a new target table in the sample data warehouse, which is in the ODI_DEMO schema.The following query defines a few columns that match the Traffic table in Google Analytics: CREATE TABLE ODI_DEMO.TRG_TRAFFIC (SESSIONS NUMBER(20,0),Browser VARCHAR2(255));
  3. In ODI expand the Models accordion in the Designer navigator and double-click the Sales Administration node in the ODI_DEMO folder.The model is opened in the Model Editor.
  4. Click Reverse Engineer.The TRG_TRAFFIC table is added to the model.
  5. Right-click the Mappings node in your project and click New Mapping.Enter a name for the mapping and clear the Create Empty Dataset option.The Mapping Editor is displayed.
  6. Drag the TRG_TRAFFIC table from the Sales Administration model onto the mapping.
  7. Drag the Traffic table from the Google Analytics model onto the mapping.
  8. Click the source connector point and drag to the target connector point.The Attribute Matching dialog is displayed.For this example, use the default options.The target expressions are then displayed in the properties for the target columns.
  9. Open the Physical tab of the Mapping Editor and click TRAFFIC_AP in TARGET_GROUP.
  10. In the TRAFFIC_AP properties, select LKM SQL to SQL (Built-In) on the Loading Knowledge Module tab.

You can then run the mapping to load Google Analytics data into Oracle.

 
 
ダウンロード