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Get the Report →Use the CData ODBC Driver for OData in SAS for Real-Time Reporting and Analytics
Connect to real-time OData services in SAS for reporting, analytics, and visualizations using the CData ODBC Driver for OData.
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 OData, you gain database-like access to live OData services from SAS, expanding your reporting and analytics capabilities. This articles walks through creating a library for OData in SAS and creating a simple report based on real-time OData services.
The CData ODBC Driver offers unmatched performance for interacting with live OData services in SAS due to optimized data processing built into the driver. When you issue complex SQL queries from SAS to OData, the driver pushes supported SQL operations, like filters and aggregations, directly to OData 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 OData services in SAS.
About OData Data Integration
CData simplifies access and integration of live OData services data. Our customers leverage CData connectivity to:
- Access OData versions 2.0, 3.0, and 4.0, working with legacy services and the latest features and capabilities.
- Leverage advanced query options, including $filter, $select, and $expand, enhancing data retrieval from 3rd party tools.
- Use Server-side execution of aggregation and grouping to minimize data transfer and boost performance.
- Authenticate securely using a variety of schemes, including Azure AD, digest, negotiate, NTLM, OAuth, and more means secure authentication with every connection.
- Use SQL stored procedures to manage OData service entities - listing, creating, and removing associations between entities.
Customers use CData's solutions to regularly integrate their OData services with preferred tools, such as Power BI, MicroStrategy, or Tableau, and to replicate data from OData services to their databases or data warehouses.
Getting Started
Connect to OData as an ODBC Data Source
Information for connecting to OData follows, along with different instructions for configuring a DSN in Windows and Linux environments (the ODBC Driver for OData must be installed on the machine hosting the SAS System).
The User and Password properties, under the Authentication section, must be set to valid OData user credentials. In addition, you will need to specify a URL to a valid OData server organization root or OData services file.
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 OData 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 OData Sys]
Driver = CData ODBC Driver for OData
Description = My Description
URL = http://services.odata.org/V4/Northwind/Northwind.svc
UseIdUrl = True
OData Version = 4.0
Data Format = ATOM
For specific information on using these configuration files, please refer to the help documentation (installed and found online).
Create a OData Library in SAS
Connect to OData in SAS by adding a library based on the CData ODBC Driver for OData.
- Open SAS and expand Libraries in the Explorer pane.
- In the Active Libraries window, right-click and select New.
- Name your library (odbclib), select ODBC as the Engine, and click to Enable at startup (if you want the library to persist between sessions).
- Set Data Source to the DSN you previously configured and click OK.
Create a View from a OData 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 OData services for reports, charts, and analytics.
Using the Query Tool
- In SAS, click Tools -> Query
- Select the table sources and the table(s) you wish to pull data from. Then, click OK.
- Select columns and right-click to add filtering, ordering, grouping, etc.
- 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
- In SAS, navigate to the Editor window.
- 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 orders_view as select ordername, freight from odbclib.orders where ShipCity = 'New York'; quit;
- Click Run -> Submit to execute the query and create a local view.
Report On or Visualize OData Services in SAS
With a local view created, you can report, visualize, or otherwise analyze OData services 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
- In SAS, navigate to the Editor window.
- Use PROC PRINT to print an HTML report for the OData Orders data.
proc print data=orders; title "OData Orders Data"; run;
Print a Chart
- In SAS, navigate to the Editor window.
- Use PROC GCHART to create a chart for the Orders data.
proc gchart data=orders; pie ordername / sumvar=freight value=arrow percent=arrow noheading percent=inside plabel=(height=12pt) slice=inside value=none name='OrdersChart'; run;