Editor’s note: This is the third article in a series by Conor Hogan, a Solutions Architect at SAS, on SAS and database and storage options on cloud technologies. This article covers the SAS offerings available to connect to and interact with the various storage options available in Microsoft Azure. Access
Editor’s note: This is the third article in a series by Conor Hogan, a Solutions Architect at SAS, on SAS and database and storage options on cloud technologies. This article covers the SAS offerings available to connect to and interact with the various database options available in Microsoft Azure. Access
In part 1 of this post, we looked at setting up Spark jobs from Cloud Analytics Services (CAS) to load and save data to and from Hadoop. Now we are moving on to the next step in the analytic cycle, scoring data in Hadoop and executing SAS code as a
Editor’s note: This article is a continuation of the series by Conor Hogan, a Solutions Architect at SAS, on SAS and database and storage options on cloud technologies. Access all the articles in the series here. In a previous article in this series, Accessing Databases in the Cloud – SAS
This article is not a tutorial on Hadoop, Spark, or big data. At the same time, no prerequisite knowledge of these technologies is required for understanding. We’ll give you enough background prior to diving into the details. In simplest terms, the Hadoop framework maintains the data and Spark controls and
Editor’s note: This is the first article in a series by Conor Hogan, a Solutions Architect at SAS, on SAS and database and storage options on cloud technologies. This article covers the SAS offerings available to connect to and interact with the various database options available in Amazon Web Services.
Interested in making business decisions with big data analytics? Our Wiley SAS Business Series book Profit Driven Business Analytics: A Practitioner’s Guide to Transforming Big Data into Added Value by Bart Baesens, Wouter Verbeke, and Cristian Danilo Bravo Roman has just the information you need to learn how to use
How effective is your organization at leveraging data and analytics to power your business models? This question is surprising hard for many organizations to answer. Most organizations lack a roadmap against which they can measure their effectiveness for using data and analytics to optimize key business processes, uncover new business
PROC FREQ is one of the most popular procedures in the SAS language. It is mostly used to describe frequency distribution of a variable or combination of variables in contingency tables. However, PROC FREQ has much more functionality than that. For an overview of all that it can do, see
Editor's note: Amanda Farnsworth is Head of Visual Journalism at BBC News and a featured speaker at SAS Global Forum 2017, April 2-5, 2017 in Orlando. My days are spent trying to put the best content we can in front of our loyal, heartland audience, while reaching out to others,
