DEVOPs Applied to SAS

The search for efficiency and innovation has led to a convergence between the analytical power of SAS and the agility of the DevOps treadmill. This smooth integration not only boosts software development but also improves data analysis capabilities, resulting in more reliable and robust solutions.

• Automation: The foundation of DevOps is automation, and SAS does not lag behind in this aspect. By integrating these two technologies, it is possible to automate the execution of complex processes. This not only speeds up the software lifecycle but also increases the reliability of analyses.
• Collaboration: DevOps promotes close collaboration between development, operations, and testing teams. By adding SAS to this equation, data analysts also become an integral part of this process. The exchange of information between teams facilitates the identification of patterns and the optimization of processes;
• Version management is essential in software development, and this integration allows the versioning of analytical models, codes and scripts. This not only facilitates traceability, but also simplifies the implementation of changes and updates without compromising data integrity;
• Continuous integration: by applying CI/CD practices, it is possible to automate the deployment of jobs efficiently, according to the defined rules and processes;

The integration between SAS and DevOps is not just a collaboration between technologies; it is a strategic union that drives innovation and efficiency. To ensure that data analysis is handled reliably and quickly, we must undoubtedly invest in synergy between SAS and DevOps.