Use the CData ODBC Driver for Azure Table in SAS for Real-Time Reporting and Analytics

SAS is a software suite developed for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics. When you pair SAS with the CData ODBC Driver for Azure Table, you gain database-like access to live Azure Table data from SAS, expanding your reporting and analytics capabilities. This article explains how to create a library for Azure Table in SAS and create a simple report based on real-time Azure Table data.

The CData ODBC Driver offers unmatched performance for interacting with live Azure Table data in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS to Azure Table, the driver pushes supported SQL operations, like filters and aggregations, directly to Azure Table 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 Azure Table data in SAS.

Connect to Azure Table as an ODBC Data Source

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

Specify your AccessKey and your Account to connect. Set the Account property to the Storage Account Name and set AccessKey to one of the Access Keys. Either the Primary or Secondary Access Keys can be used. To obtain these values, navigate to the Storage Accounts blade in the Azure portal. You can obtain the access key by selecting your account and clicking Access Keys in the Settings section.

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 Azure Table 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 AzureTables Sys]
Driver = CData ODBC Driver for Azure Table
Description = My Description
AccessKey = myAccessKey
Account = myAccountName

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

Create a Azure Table Library in SAS

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

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. 👁 Creating a library for Azure Table in SAS.
   

Create a View from a Azure Table 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 Azure Table 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. 👁 Selecting table(s) to visualize.
   
3. Select columns and right-click to add filtering, ordering, grouping, etc. 👁 Selecting columns(s) to visualize and configuring the query.
   
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. 👁 Create a local view to work with Azure Table data.
   

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 northwindproducts_view as
    select 
    name, 
    price 
    from 
    odbclib.northwindproducts 
    where 
    ShipCity = 'New York';
   quit;
   

3. Click Run -> Submit to execute the query and create a local view.

Report On or Visualize Azure Table Data in SAS

With a local view created, you can report, visualize, or otherwise analyze Azure Table 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 Azure Table NorthwindProducts data.

   proc print data=northwindproducts;
    title "Azure Table NorthwindProducts Data";
   run;
   

   👁 A simple Azure Table data report.
   

Print a Chart

1. In SAS, navigate to the Editor window.
2. Use PROC GCHART to create a chart for the NorthwindProducts data.

   proc gchart data=northwindproducts;
    pie name / sumvar=price
    value=arrow
    percent=arrow
    noheading
    percent=inside plabel=(height=12pt)
    slice=inside value=none
    name='NorthwindProductsChart';
   run;
   

   👁 A simple Azure Table data chart.