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CData ODBC Driver for PCA Sales を使って、SAS からリアルタイムレポートや分析を実施。

CData ODBC Driver for PCA Sales を使って、SAS からPCA Sales data データを連携利用。

SAS は、高度なアナリティクス、BI、データ管理、予測分析のためのソフトウェアです。SAS とCData ODBC Driver for PCA Sales を合わせて使うことで、SAS からリアルタイムPCA Sales data へのアクセスが可能になります。本記事では、SAS でPCA Sales のライブラリを作成し、データベースのようにデータを扱い、レポートを作成します。

The CData ODBC Driver offers unmatched performance for interacting with live PCA Sales data in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS to PCA Sales, the driver pushes supported SQL operations, like filters and aggregations, directly to PCA Sales and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can easily visualize and analyze PCA Sales data in SAS.

Connect to PCA Sales as an ODBC Data Source

Information for connecting to PCA Sales follows, along with different instructions for configuring a DSN in Windows and Linux environments (the ODBC Driver for PCA Sales must be installed on the machine hosting the SAS System).

PCA Sales uses the OAuth 2 authentication standard. You will need to obtain the OAuthClientId and OAuthClientSecret by registering an app with PCA Sales. See the Getting Started section of the help documentation for an authentication guide.

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.

Windows

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.

Linux

If you are installing the CData ODBC Driver for PCA Sales in a Linux environment, the driver installation predefines a system DSN. You can modify the DSN by editing the system data sources file (/etc/odbc.ini) and defining the required connection properties.

/etc/odbc.ini

[CData PCASales Sys] Driver = CData ODBC Driver for PCA Sales Description = My Description OAuthClientId = MyOAuthClientId OAuthClientSecret = MyOAuthClientSecret CallbackURL = http://localhost:33333 ProductCode = MyProductCode ApiVersion = V1 DataCenter = DataCenterName DefaultDataArea = MyDefaultDataArea

For specific information on using these configuration files, please refer to the help documentation (installed and found online).

Create a PCA Sales Library in SAS

Connect to PCA Sales in SAS by adding a library based on the CData ODBC Driver for PCA Sales.

  1. Open SAS and expand Libraries in the Explorer pane.
  2. In the Active Libraries window, right-click and select New.
  3. Name your library (odbclib), select ODBC as the Engine, and click to Enable at startup (if you want the library to persist between sessions).
  4. Set Data Source to the DSN you previously configured and click OK.

Create a View from a PCA Sales Query

SAS natively supports querying data either using a low-code, point-and-click Query tool or programmatically with PROC SQL and a custom SQL query. When you create a View in SAS, the defining query is executed each time the view is queried. This means that you always query live PCA Sales data for reports, charts, and analytics.

Using the Query Tool

  1. In SAS, click Tools -> Query
  2. Select the table sources and the table(s) you wish to pull data from. Then, click OK.
  3. Select columns and right-click to add filtering, ordering, grouping, etc.
  4. Create a local view to contain the query results by right-clicking the SQL Query Tool window, selecting Show Query, and clicking Create View. Name the View and click OK.

Using PROC SQL

  1. In SAS, navigate to the Editor window.
  2. Use PROC SQL to query the data and create a local view.
    NOTE: This procedure creates a view in the Work library. You can optionally specify a library in the create view statement.
    proc sql;
      create view mastersms_view as
      select 
        syohincode, 
        syohinmei 
      from 
        odbclib.mastersms 
      where 
        SyohinMei = 'Syohin';
    quit;
    
  3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize PCA Sales Data in SAS

With a local view created, you can report, visualize, or otherwise analyze PCA Sales data using the powerful SAS features. Print a simple report using PROC PRINT and create a basic graph based on the data using PROC GCHART.

Print an HTML Report

  1. In SAS, navigate to the Editor window.
  2. Use PROC PRINT to print an HTML report for the PCA Sales MasterSms data.
    proc print data=mastersms;
      title "PCA Sales MasterSms Data";
    run;
    

Print a Chart

  1. In SAS, navigate to the Editor window.
  2. Use PROC GCHART to create a chart for the MasterSms data.
    proc gchart data=mastersms;
      pie syohincode / sumvar=syohinmei
          value=arrow
          percent=arrow
          noheading
          percent=inside plabel=(height=12pt)
          slice=inside value=none
          name='MasterSmsChart';
    run;
    
 
 
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