Ensuring consistent data quality across tools and teams is a growing challenge—especially as more programmers work in Python. This session introduces the SAS Quality Knowledge Base (QKB) for Python, enabling shared, standardized data quality rules across both SAS and open source workflows.
You’ll learn how to invoke QKB functions directly from Python using Pandas DataFrames, compare SAS and Python implementations side by side, and build reusable, governed business rules that scale across platforms.
Attendees will explore planned enhancements, understand how this approach empowers teams, and learn how combining open source flexibility with SAS QKB governance strengthens data quality in SAS Viya.
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