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

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

Connect to Hugging Face as an ODBC Data Source

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

HuggingFace Hub uses token-based authentication to enable access to its API. The API provides access to machine learning models, datasets, spaces, papers, and other resources on the HuggingFace Hub platform.

Using API Key Authentication

To authenticate to HuggingFace Hub, you will need to provide an API Key (Access Token). To obtain your access token:

1. Log in to your HuggingFace account at https://huggingface.co
2. Navigate to Settings > Access Tokens
3. Click "New token" to create a new access token
4. Select the appropriate permissions (read or write)
5. Copy the token value

After obtaining your access token, set the following connection properties:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your HuggingFace access token.

Example connection string

Profile=C:\profiles\HuggingFace.apip;ProfileSettings='APIKey=hf_xxxxxxxxxxxxxxxxxxxx';

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 Hugging Face 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 Hugging Face
Description = My Description
Profile = C:\profiles\HuggingFace.apip
ProfileSettings = 'APIKey = hf_xxxxxxxxxxxxxxxxxxxx'

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

Create a Hugging Face Library in SAS

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

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 Hugging Face in SAS.
   

Create a View from a Hugging Face 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 Hugging Face 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 Hugging Face 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 collections_view as
    select 
    , 
    
    from 
    odbclib.collections 
    where 
    = '';
   quit;
   

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

Report On or Visualize Hugging Face Data in SAS

With a local view created, you can report, visualize, or otherwise analyze Hugging Face 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 Hugging Face Collections data.

   proc print data=collections;
    title "Hugging Face Collections Data";
   run;
   

   👁 A simple Hugging Face data report.
   

Print a Chart

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

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

   👁 A simple Hugging Face data chart.