[video]
Presenter: Alexey Vodilin
Data engineering and data scientist teams are multidisciplinary, each with preferred skills and technologies. Some of them use SAS, others may have analytical assets already built in Python. The goal is to enable all types of users to leverage their best skills, ensuring governance and transparent orchestration of assets and enterprise access to data sources. With Python integration in SAS Studio programmers can code, execute and schedule Python scripts within SAS Studio application and add Python artifacts into a SAS Studio Flow.
Users can also leverage integration with Git to streamline collaboration. SAS Lineage Viewer allows users to see which tables are used where and when Studio Flow contains Python program steps.
