How To Create, Migrate and Run SAS Language Programs with Altair Analytics and Drive Significant Cost-Savings
Live Webinar (60 Min): April 28, 4.30 PM AEDT / 1.30 PM SGT / 11 AM IST
Join this webinar to gain knowledge on creating, migrating, and running SAS language programs with the easy-to-use Altair solution - WPS Analytics. The platform supports existing skills and accelerates the open-source journey as it combines SAS language, Python, R, and SQL to offer a multi-language data programming tool that can run existing programs as well as develop new ones.
WPS Analytics allows your data to grow confidently keeping costs under control while the platform continues to scale. It helps build a modern and future-proof analytics environment that delivers high-value business insights while maximizing ROI and cost savings.
Key Takeaways:
A set of UI features providing the capability to:
- Program in Python, R, SQL, and SAS Language
- Visually design processing chains: Workflows, using drag and drop and point and click functionality
- Augment any Workflow with code in the Python, R and SQL, and SAS language
- Generate the SAS language code for any Workflow - even those using open source code
- Deploy programs as APIs or as Pipelines with WPS Hub
Who Should Join?
If you are a SAS language or Open-Source programmer, a Data Engineer, Data Analyst, Data Scientist, Data Modeller, or involved in DevOps, this webinar is for you.
WPS Analytics is one unified analytics enterprise-class data analytics platform for scalable data manipulation and analytics. It is an easy-to-use platform for data engineers, data scientists, and business users.
This encompasses data acquisition, data discovery, data prep, ETL, predictive modeling, machine learning, visual drag-and-drop workflows, coding, shared on-demand deployment, API publishing, and analytics governance.
The processing engine incorporates a built-in SAS language compiler with the flexibility to mix open-source languages into a single program.
It enables flexible deployment to link on-premises, mainframe, and cloud environments.