From Big Data to Meaningful Information with SAS High-Performance Analytics

Abstract

This paper is about the importance of Big Data and What You Can Accomplish with the data that counts. Until recently, organizations have been limited to using subsets of their data, or they were constrained to simplistic analyses because the sheer volumes of data overwhelmed their processing platforms. But, what is the point of collecting and storing terabytes of data if you can't analyze it in full context, or if you have to wait hours or days to get results? On the other hand, not all business questions are better answered by bigger data. How can you make the most of all that data, now and in the future? It is a twofold proposition. You can only optimize your success if you weave analytics into your solution. But you also need analytics to help you manage the data itself. There are several key technologies that can help you get a handle on your big data, and more importantly, extract meaningful value from it.

Keywords

• big data
• data visualization
• high-performance analytics
• grid computing
• in-memory analytics
• in database computing
• Hadoop.