Welcome back! Today, I continue with part 2 of my series on building custom applications on SAS Viya. The goal of this series is to discuss securely integrating custom-written applications into your SAS Viya platform. In the first installment of this series, I outlined my experiences on a recent project.
This blog post, inspired by my work on this topic with a SAS customer, focuses on how to create and use locale-specific informats to read in numeric values from a Microsoft Excel file and then transform them into SAS character values. I incorporated this step into a macro that transforms ones and zeroes from the Excel file into meaningful information for multilingual readers.
Because SAS Viya provides distributed computing capabilities, customers wonder how it compares to SAS Grid Manager. SAS® Grid Manager and SAS® Viya® implement distributed computing according to different computational patterns.
SAS offering free learning resources in celebration of programmers For more than 40 years, SAS programmers have crafted software and solutions that transform the world. From statistics to data science, to analytics and artificial intelligence, people writing code have architected a new economy with incredible opportunities. SAS Programmer Week honors
This series is geared towards walking you through a piece of the puzzle of operationalizing your analytics: securely integrating your custom applications into your SAS Viya platform. This is particularly useful after exposing your analytics as HTTP REST APIs, as we'll see an intentionally brief example of in this first
Decision trees are a fundamental machine learning technique that every data scientist should know. Luckily, the construction and implementation of decision trees in SAS is straightforward and easy to produce. There are simply three sections to review for the development of decision trees: Data Tree development Model evaluation Data The