Introducing DataOps Into Your Data and Analytics Discipline
Explore how SAS® can connect all aspects of the analytics life cycle, including DataOps, AI and ModelOps, to get the most value from your investment.
About the webinar
AI adoption has grown steadily, increasing demand for data engineering from data science teams.
While data management capabilities are readily available, they are not easily provisioned and consumed in a repeatable manner for downstream use cases.
In this webinar, we’ll focus on DataOps and how it provides an agile, collaborative approach to connect, cleanse, prepare and govern data at scale.
Hear how DataOps enables greater reliability, adaptability, speed and collaboration in your efforts to operationalize data and analytics workflows.
You’ll learn how to:
- Embrace efficiency and improve integration processes.
- Achieve better, cleaner data, regardless of volume or type.
- Prepare data for analytics and reporting in a self-service environment.
- Manage all your critical data assets, regardless of size, type or location.