Use the CData ODBC Driver for OpenWeatherMap 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 OpenWeatherMap, you gain database-like access to live OpenWeatherMap data from SAS, expanding your reporting and analytics capabilities. This article explains how to create a library for OpenWeatherMap in SAS and create a simple report based on real-time OpenWeatherMap data.

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

Connect to OpenWeatherMap as an ODBC Data Source

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

Using API Key Authentication

To obtain an API key, sign up for a free account at https://openweathermap.org/api and navigate to the API keys section of your dashboard. Copy your API key for use in the connection configuration.

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your OpenWeatherMap API key.

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 OpenWeatherMap 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 API Sys]
Driver = CData ODBC Driver for OpenWeatherMap
Description = My Description
Profile = C:\path\to\OpenWeatherMap.apip
AuthScheme = APIKey
ProfileSettings = "APIKey = your_openweathermap_api_key"

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

Create a OpenWeatherMap Library in SAS

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

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 OpenWeatherMap 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 OpenWeatherMap 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 accumulatedprecipitation_view as
     select 
       , 
        
     from 
       odbclib.accumulatedprecipitation 
     where 
       Latitude = '40.7128';
   quit;
   

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

Report On or Visualize OpenWeatherMap Data in SAS

With a local view created, you can report, visualize, or otherwise analyze OpenWeatherMap 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 OpenWeatherMap AccumulatedPrecipitation data.

   proc print data=accumulatedprecipitation;
     title "OpenWeatherMap AccumulatedPrecipitation Data";
   run;
   

   

Print a Chart

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

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