About this paper
Traditional data management strategies will not scale to effectively govern big data for high-performance analytics. As a result, many organizations are evolving their enterprise architectures to address specific business analytics needs. To quickly maximize return on investment from SAS® In-Memory Analytics products, it's important to devise and deploy appropriate information management strategies. This paper discusses tactics, best practices and architecture options associated with loading analytics-ready data required for SAS High-Performance Analytics Server or SAS Visual Analytics. By using a flexible data management approach to get the most out of your analytic data warehouse, you will be well prepared to address a multitude of evolving business, operational and technical requirements.
SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 70,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®.
Have a SAS profile? To complete this form automatically: Log In