Clear Analytics でAzure Data Catalog データ に連携するグラフを作成

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。

CData ODBC Driver for AzureDataCatalog を使えば、Azure Data Catalog に標準ODBC でのアクセスが可能になり、いろいろなBI、レポーティング、ETL ツールからデータ連携が可能になります。本記事では、Microsoft Excel のアドインであるClear Analytics からAzure Data Catalog データにODBC データソースとして接続し、クエリ、テーブル、チャート、ピボットテーブルを作成する方法を説明します。

Azure Data Catalog データ への連携

ODBC Data Source Name の設定

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

You can optionally set the following to read the different catalog data returned from Azure Data Catalog.

CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name

Connect Using OAuth Authentication

You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in 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.

Clear Analytics でのデータソース設定

1. Open Excel and navigate to the CLEAR ANALYTICS ribbon. Once there, open the Data Manager.
2. Select Database as the data source.
3. In the Set Connection section, click the option to create a new database.
4. Select Microsoft ODBC Data Source as the data source and click OK.
5. Select the DSN you already configured from the drop-down menu.
6. Back on the Set Connection section, select Standard (ANSI ODBC) Query Builder as the SQL Builder Provider and click Next.
7. Select the Schema/Owner and choose the domains (tables) that you wish to use in Clear Analytics.
8. Prepare your data objects as needed by customizing the display names and descriptions of the tables and columns.
9. For the vast majority of the CData ODBC Drivers, you will not set a key date for your domains.
10. In the Domain Relations section, add any relational information between tables.
11. In the Domain Tree section, create groups for your data and add the available items to the groups.
12. Review the summary of your data and click Finish.

Azure Data Catalog データ のグラフ作成

You are now ready to create a chart with Azure Data Catalog データ.

Create a New Query

1. Click Repository in the CLEAR ANALYTICS ribbon.
2. Create a new query.
3. Select the columns you wish to retrieve.
4. Set the aggregation type for your data (use the blank entry if you do not wish to aggregate the data).
5. Set filters and formulas by dragging columns to the lower window.
6. Name your query and click Save.

BQuery Report のグラフ作成

1. Click Report Explorer in the CLEAR ANALYTICS ribbon.
2. In the Report Explorer pane, click the 'New Report' icon in the toolbar.
3. Select the query you just created.
4. Name the report and click 'Save and Execute'.
5. Click the Results tab within the Report Explorer
6. Expand your report and drag the chart to the Excel spreadsheet.
7. In the resulting PivotChart window, drag the fields (columns) to the Filters, Legends, Axis (Categories), and Values windows.

With a new data source in Clear Analytics established and a chart created, you are ready to begin analysis of Azure Data Catalog データ. With the ODBC Driver for AzureDataCatalog and Clear Analytics, you can perform self-service analytics in Excel with live data, directly from Azure Data Catalog.