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.
Copyright © 2017 Progress Software Corporation and/or its subsidiaries or affiliates.
All Rights Reserved.
Progress, Telerik, and certain product names used herein are trademarks or registered trademarks of Progress Software Corporation and/or one of its subsidiaries or affiliates in the U.S. and/or other countries. See Trademarks for appropriate markings.