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Sisense でリアルタイム BigCommerce Data を連携してビジュアライズ

リアルタイムBigCommerce data への連携が可能なSisense ElastiCube を作成します。

Sisense を使用すると、データを結合、分析、および描画して、よりインテリジェントなビジネス上の意思決定を行い、効果的な戦略を立てることができます。CData JDBC Driver for BigCommerce を使用すると、Sisense からリアルタイムBigCommerce data を簡単に連携できます。ここでは、BigCommerce data に連携するElastiCube を作成し、ElastiCube を使用してSisense でBigCommerce data をビジュアライズする方法を説明します。

BigCommerce への接続を設定

Before creating the ElastiCube, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CDatat\CData JDBC Driver for BigCommerce\lib) or copy the jar file (cdata.jdbc.bigcommerce.BigCommerce.jar) to a new folder in the Sisense JDBC driver directory (typically C:\ProgramData\Sisense\DataConnectors\jdbcdrivers).

  1. In the Data page of the Sisense application, create a new ElastiCube (or open an existing one).
  2. In the Model Editor, click "+ Data" to open the Add Data dialog box.
  3. Click Generic JDBC to open the JDBC settings.
  4. Set the connection string property to the JDBC URL for BigCommerce, adding required properties.

    BigCommerce authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Big Commerce developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL. These three parameters will be set as connection properties to your driver.

    Additionally, in order to connect to your BigCommerce Store, you will need your StoreId. To find your Store Id please follow these steps:

    1. Log in to your BigCommerce account.
    2. From the Home Page, select Advanced Settings > API Accounts.
    3. Click Create API Account.
    4. A text box named API Path will appear on your screen.
    5. Inside you can see a URL of the following structure: https://api.bigcommerce.com/stores/{Store Id}/v3.
    6. As demonstrated above, your Store Id will be between the 'stores/' and '/v3' path paramters.
    7. Once you have retrieved your Store Id you can either click Cancel or proceed in creating an API Account in case you do not have one already.

    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 BigCommerce JDBC Driver.Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.bigcommerce.jar

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

    When you configure the JDBC URL, 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.

    A typical example follows:

    jdbc:bigcommerce:OAuthClientId=YourClientId; OAuthClientSecret=YourClientSecret; StoreId='YourStoreID'; CallbackURL='http://localhost:33333'InitiateOAuth=REFRESH
  5. Set the JDBC JARs folder property to the location of the CData JDBC Driver JAR file (see above).
  6. Set the driver's class name to the class name for the JDBC Driver: cdata.jdbc.bigcommerce.BigCommerceDriver
  7. Leave the username and password properties blank.
  8. Click Next.

ElastiCube にBigCommerce Data を追加

Once you are connected to BigCommerce, you can add tables and views to your ElastiCubes.

  1. From the Tables list, select the tables and/or views you wish to work with.
  2. (Optional) Click "+" to customize the data you want to import with SQL.
  3. Click Done.
  4. Click Build to build the ElastiCube for analytics.

BigCommerce Data を視覚化

With BigCommerce tables added to your ElastiCube, you can perform analytics on your BigCommerce data.

  1. Navigate to the Analytics page of the Sisense application
  2. Select a Dashboard (or create a new one)
  3. Select your Data Source and click Create
  4. Click "+ Select Data" and choose fields to add to your visualization.

With the CData JDBC Driver for BigCommerce, you can access live BigCommerce data right in Sisense for powerful visualization and analytics.Download a free, 30-day trial and start working with BigCommerce data in Sisense today!

 
 
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