Can Your Current Infrastructure Support High-Performance Analytics and Data Science?
Big data, compliance and a highly skilled workforce are driving organizations to transform their current analytical infrastructure to deliver enterprise computing environments that can support the latest in data science and analytics practices. SAS remains a popular choice for statistical programming languages, but there is growing demand for R and Python. Data engineers are now being tasked to deliver scalable and highly available computing resources to support analytics for a growing number of users and increasing data volumes while maintaining security for their customers.
Watch this webinar to learn:
- Differences between traditional and Grid deployments for SAS
- Best practices and lessons learned in deploying an Analytics Grid
- How to deliver an open analytics strategy for SAS, R, Python and others
- Popular data sources for advanced analytics
Speakers:
- Sumit Sarkar, Chief Data Evangelist - Progress DataDirect
- Benjamin Zenick, Chief Operating Officer - Zencos