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In my last post, I introduced the hardware solutions (such as a virtual IP switch or IP load balancer) that enable client applications to access services regardless of whether they are running on a primary or a failover server in a grid-enabled environment configured with high availability. In this post,
When I work on SAS projects that create lots of files as results, it's often a requirement that those files be organized in a certain folder structure. The exact structure depends on the project, but here's an example: /results |__ html |__ images |__ xls |__ data Before you can
Der Countdown läuft: Noch wenige Tage gilt für das SAS Forum 2013 der Frühbuchertarif. Teilnehmer, die sich bis zum 10. Juli registrieren, sparen 500 Euro für ihren Besuch von Europas größter Analytics-Konferenz. Am 11. und 12. September 2013 schildern Experten, Strategen und Anwender aus unterschiedlichen Branchen in mehr als 70
Many SAS Enterprise Guide users practically live in the Query Builder. For those who understand their data tables, the Query Builder provides a tremendous amount of flexibility to pull and manipulate data. The Query Builder produces SQL programs behind the scenes, which translates well for database-centric work. Sometimes a complex
Unverändert finden im Umfeld der Marken, Medien und Märkte die vielleicht größten Wandlungsprozesse statt, mit denen vor allem konsumentenorientierte Unternehmen konfrontiert sind. Big-Data-Herausforderungen, die neue Customer Journey sowie die Auflösung der klassischen Trennung von Massenmedien und Dialogkommunikation werfen zwangsläufig die Frage auf, welche Infrastruktur die Marketingorganisation heute braucht. Folgerichtig bildet
In Klammergriff von gesättigten Märkten, Dauerniedrigzins und Überregulierung hätten Banker viele Gründe zur Klage. Wo noch Geld verdienen? Wie dem Wettbewerb die Stirn bieten, wenn hochqualifizierte Mitarbeiter sich nur noch mit Regulierungsanforderungen beschäftigen? Wie noch die komplizierten Kunden von heute erreichen? Trotzdem wird auf dem SAS Forum 2013 nicht lamentiert.
This question comes up often when we’re working with SAS customers to configure their underlying storage arrays: “When is solid-state storage appropriate for SAS applications?” Solid-state drives, or SSDs, are the latest and greatest thing in storage today because they boast extremely fast performance. In this post, I’ll outline how
Recently a user chimed in on the SAS Communities page, requesting a way to add some observation level annotation to a box plot. Wendy was delighted to see a graph created by the UNIVARIATE procedure called "Schematic Plot". In this graph, the box plot of the analysis variable is shown with
Every programmer may dread the thought of a colleague peeking over his or her shoulder, double-checking code, but SAS Global Forum paper winner David Scocca has offered his tips for making code reviews a painless process. His paper, Communicating Standards: A Code Review Experience, is a must-read. Here’s a peek
How do you count the number of unique rows in a matrix? The simplest algorithm is to sort the data and then iterate down the rows, comparing each row with the previous row. However, this algorithm has two shortcomings: it physically sorts the data (which means that the original locations
If you routinely import data from external sources, chances are you’ve learned the value in having a systematic import process. In this post, I will begin sharing my approach of using metadata tables to guide the importing of data.
Based on my previous posts, we are almost done with the basics of SAS libraries and how the various clients can access them. Before we leave this topic and go onto third-party database engines, I wanted to spend a few minutes talking about some best practices for making sure that
A Bar Line graph is commonly used in many domains. The SGPLOT procedure makes it easy to create bar line graphs where the user can customize it in many different ways. This post is prompted by a recent question on the communities page on creating such a graph, with one bar and
Aus ihren Daten wirklich Nutzen zu ziehen, können viele Unternehmen. Das Finden von Mustern mit Data Mining gibt es seit Jahrzehnten, eine ähnliche Historie weisen Forecasting oder Predictive Analytics auf. Je nach Datenart und Anforderung gibt es hier schon sehr lange valide, reliable und vor allem alltags- sowie business-relevante Methoden
Most of us can probably recite the age-old recommendation to "drink eight 8-ounce cups of water every day" in our sleep. However, how many of us actually do it? We are often quick to replace our water bottles with sugar-sweetened beverages, coffee, or tea while telling ourselves, "it’s mostly water,
