All Posts
Jim Harris discusses perspectives on the question of how much quality big data really needs.
Sizing is a topic that solutions managers typically leave until the end after decisions about the application have been settled. But there are often many variables that can impact the final size requirement. We have seen across our customer base that sizing and the number of environments has been determined
Have you been in your attic lately? Or maybe cleaned out that closet that all of your “stuff” seems to gravitate to? Sure, mostly you’ll just find old junk that is no longer useful or purely nostalgic, but every once in a while you come across those long lost treasures
In a previous post, I discussed using discrete-event simulation to validate an optimization model and its underlying assumptions. A similar approach can be used to validate queueing models as well. And when it is found that the assumptions required for a queueing model are not a good fit for the
Editor’s Note: Regular registration for SCSUG 2015 closes on October 19th, though on-site registration will be available on conference days. Can’t make this year’s conference? Proceedings from previous conferences are currently available. Presentations from 2015 will become available shortly after the conference. For most people, the day before Halloween means
Imagine you're an investigator sorting through 6,000 mug shots taken at different jails around the state. You are tasked with finding all the mug shots of a high-profile con artist who has been arrested in multiple cities using a number of different aliases over the last five years. How can
The #1 rule of any self-respecting hipster is to not claim to be a hipster. Therefore, can there even be such a thing as a hipster beard, or hipster beard data? I contemplated this perplexing question, as I stroked my pirate beard. Since fashion trends tend to be cyclical, perhaps
with Natalie Osborn, Senior Industry Consultant, Hospitality and Gaming Practice, SAS We’ve taught analytics 101 through the last couple of blog posts, and now that you have passed that course, you are ready to take an advanced course in analytics. Ok, not really, we won’t subject you to that, but
Gartner has stated that there are nearly five billion connected devices throughout the world today and predicts that there will be more than 25 billion by 2020, making the potential of this technology unlimited. The connected devices in industrial settings, in personal devices, and in our homes are creating a
El big data analytics es el motor de la economía de la información… pero para entregar el máximo valor de los datos, las organizaciones no sólo necesitan tener las herramientas adecuadas, también necesitan tener a los mejores profesionales. En ese sentido, SAS realizó recientemente una encuesta para explorar cuál es
There are many ways to do data integration. Those include: Extract, transform and load (ETL) – which moves and transforms data (with some redundancy) from a source to a target. While ETL can be implemented (somewhat) in real time, it is usually executed at intervals (15 minutes, 30 minutes, 1
The Midwest SAS Users Group (MWSUG) 2015 conference is almost here and there’s a lot to get excited about. The event takes place October 18-20 in Omaha, NE. If you haven’t already registered, regular registration has been extended through October 13th. The full conference agenda is now available. We hope
Though crude oil prices edged up last week, the market remains well below VirtualOil’s original $50 strike price, meaning the hypothetical portfolio’s production is shut in in the spot market again. Oversupply continues while China GDP forecasted growth is slowing. Given the market outlook, the VirtualOil board has decided to
This guest blog post comes from Dr. David Dickey, one of our original SAS Press authors. Hope you enjoy! In the late 1970s, shortly after SAS was founded, I was approached by Herbert Kirk and John Brocklebank from SAS to put together a course on time series. This was reasonably
The SAS In-Database Embedded Process is the key technology which enables the SAS® Scoring Accelerator, SAS® Code Accelerator, and SAS® Data Quality Accelerator products to function. The EP is the computation engine we place near the data, which reduces unnecessary data movement and speeds up processing and efficiency. The EP