Tag: high-performance analytics

Jennifer Nenadic 0
Building an analytics culture from the ground up

With all the industry emphasis and collateral available on high performance analytics, business intelligence and visual analytics, it can be difficult to know exactly where to begin, especially if you don’t have a team of statisticians standing by. Thankfully, analytics covers a huge range of opportunities to empower your business, and

Mark Troester 26
SAS Hadoop - A peek at the technology

Thanks for returning to learn more about this critical technology. Following yesterday’s overview post on the new SAS Hadoop support, we’ll dig a little deeper today and consider the following: Under the Hood: A Peek at the Technology SAS Hadoop Value Summary A Note About the Future Under the Hood:

Mark Troester 1
SAS: Big play for Hadoop

Hadoop – it’s not just hype! The community has shown tremendous interest in our plans for Hadoop – what will be supported, when it will be available, and so on. We’ve been blogging about big data and provided early plans for Hadoop, including SAS/ACCESS support for Hadoop. Well, it's official:

Mark Troester 0
Hurwitz on SAS & Big Data: Experience Matters

Mike Ames and I recently had an opportunity to talk to Fern Halper and Judith Herwitz from Hurwitz & Associates as they are doing a 4 part blog series on vendor views on big data and big data analytics. You can view Fern's blog post about the SAS perspective here. Here

Mark Troester 3
Top 10 IT considerations for analytics in 2012

It’s hard to believe, but now that 2011 is almost over it’s time to look ahead. The technology pundits are starting to publish their 2012 predictions, and it’s not surprising to see topics like analytics, cloud, big data, mobile, social networking, virtualization, open source on these lists. Instead of creating

Mark Troester 2
Big Hype requires solid Big Data tenets

Big hype about big data has played a significant role in driving awareness about the value of analytics. SAS welcomes the interest in big data, since it highlights our ability to work with huge volumes of complex and diverse data. Since this is such a critical topic, we have formulated

Alison Bolen 2
What type of big is your data?

The basic big data problem is simple to understand: we create too much data to store and analyze it all. The problem gets bigger, however, when you consider the related factors: our problems themselves are getting bigger, the analytics needed to solve them are more complex and the data is