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This is the last of my series of posts on the NIST definition of cloud computing. As you can see from this Wikipedia definition, calling anything a “cloud” is likely to be the fuzziest way of describing it. In meteorology, a cloud is a visible mass of liquid droplets or frozen
Outside, the Cary, NC sky is gray and winds are blowing freezing rain, but a group of statisticians at SAS are channeling warm green hills and the soft, gold light of a California evening. Team conversations alternate between distributed processing, PROC IMSTAT and how many pairs of shorts to pack.
After working in the data quality industry for a number of years, I have realized that most practitioners tend to have a rather rigid perception of the assertions about the quality of data. Either a data set conforms to the set of data quality criteria and is deemed to be acceptable
As a blogger, I often wonder whether my blog posts are 'successful' - and being a graph guy, I like to visually analyze the data, to try to answer that question. The most common measure of a blog post is probably the number of times it was viewed, so I guess
This isn't Kansas anymore. Oz has become a sprawling, smart metropolis filled with sensor data. How do we make sense of, clean, govern and glean value from this big data so we can get Dorothy home? The answer is SAS Data Management. With the latest portfolio updates, customers will be
No es un secreto que las empresas están aplicando cada vez más soluciones de Big Data para tomar las decisiones de negocio adecuadas. Sin embargo, corren el riesgo de caer en prácticas monótonas por desconocimiento y por no atreverse a usar nuevas estrategias que, en muchos casos, podrían evitarles riesgos
Over the past decade in insurance, the rise of the aggregators (organisations that compare quotes between different insurers) and direct channels has had a profound impact on personal lines distribution in the UK. However, personal lines brokers remain a critical route to market, especially at a time when many insurers
Here’s a great way to kill a conversation at the next cocktail party you attend. Start talking about the US budget deficit. You remember the deficit, right? It’s the difference between what the government collects and what it spends. In 2014, the US federal government spent $488 billion more than
Is this blog post about techniques to use on difficult graph legends, or is it about goats? The answer is both! But first, to get you into the proper mood, here is a picture my friend, Mark, took of some cute goats. And some links to YouTube videos about goats
There has been much discussion on the SAS Communities page on usage of different symbols in a graph. The solutioin can vary based on the SAS release. New features have been added at SAS 9.4 releases to SG Procedures and GTL that make this very easy. With SAS 9.4M1, almost any combination is
When designing a SAS Grid Manager architecture, there is a requirement that has always been a critical component: a clustered file system. Over the years, vendors have released versions of these systems that are more robust and SAS has increased the minimum IO requirements, but the basic design has never changed—until now.
Healthier Alternatives to Quench Your Thirst With research linking sugar to heart disease, diabetes and GI imbalances, many of us are trying to reduce or eliminate sugar. And to add salt (or sugar) to the wound, new studies are suggesting that some artificial sweeteners ALSO have negative health consequences. When
Sudoku solvers have been written in SAS using a variety of methods (e.g., the DATA step, PROC SQL, and PROC CLP). Surprisingly, SAS/IML appears to have been overlooked for this purpose. On a challenge from a coworker, I wrote this blog post to demonstrate the flexibility of SAS/IML in the
James Surowiecki wrote a book about The Wisdom of Crowds. Jeff Howe, who co-coined the term crowdsourcing, wrote a book about Why the Power of the Crowd Is Driving the Future of Business. In this blog series, I explore if it’s wise to crowdsource data improvement, and if the power of the crowd can
“Let’s assume a normal distribution …” Ugh! That was your first mistake. Why do we make this assumption? It can’t be because we want to be able to mentally compute standard deviations, because we can’t and don’t it that way in practice. No, we assume a normal distribution to simplify