[Editor's note: this post was co-authored by Marinela Profi and Wilbram Hazejager] Data science teams are multidisciplinary, each with different skills and technologies of choice. Some of them use SAS, others may have analytical assets already built in Python or R. Let's just say each team is unique. As part
Think about what a modern implementation of SAS looks like for a customer. Programmers rely on robust environments to run the models and programs that answer business questions. These environments can be different for platforms like SAS® 9 and SAS® Viya®. They can be deployed across distributed servers, either on
SAS Analytics Pro consists of three core elements of the SAS system: Base SAS®, SAS/GRAPH® and SAS/STAT®. The containerized deployment option adds the full selection of SAS/ACCESS engines making it even easier to work with data from virtually any source.
From articles I've read on the web, it is clear that data is gold in the twenty-first century. Loading, enriching, manipulating and analyzing data is something in which SAS excels. Based on questions from colleagues and customers, it is clear end-users are willing to display data handled by SAS outside
SAS' Rajesh Selukar introduces you to a new scoring feature.
If my experience is anything to go by, there’s a sizeable number of customers that still have SAS workloads running on IBM mainframes. Now I have tremendous respect for S/390 (I can still navigate TSO/ISPF et al. and started my IT career programming in PL/AS on MVS and VM), but
This article was co-written by Jane Howell, IoT Product Marketing Leader at SAS. Check out her blog profile for more information. As artificial intelligence comes of age and data continues to disrupt traditional industry boundaries, the need for real-time analytics is escalating as organizations fight to keep their competitive edge.
Just because you are using CAS actions doesn't mean you can forget about the powerful SAS DATA step. The dataStep.runCode CAS action is here! Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. I've broken the series into logical, consumable parts. If you'd like
SAS' Udo Sglavo interviews colleague Jan Chvosta, director of Scientific Computing at SAS, on regression analysis and how it works.
SQL is an important language for any programmer working with data. In SAS Cloud Analytic Services (CAS) you can execute SQL queries using the fedSQL.execDirect CAS action! Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. I've broken the series into logical, consumable parts.
In my previous post CAS-Action! Simply Distinct - Part 1 I reviewed using the simple.distinct CAS action to explore distinct and missing values in a distributed CAS table. Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. I've broken the series into logical, consumable
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. I've broken the series into logical, consumable parts. If you'd like to start by learning a little more about what CAS Actions are, please see CAS Actions and Action Sets - a brief intro. Or
SAS Analytics Pro is an easy-to-use, yet powerful package for accessing, manipulating, analyzing and presenting information. It lets organizations improve productivity with all the tools and methods needed for desktop data analysis – in one package.
SAS는 마이크로소프트에 이어 아마존, 구글, 레드햇 등 파트너십을 확대하고 있으며, 50여 IoT기술 기업과 협력하고 있습니다. SAS 브라이언 해리스 CTO는 이번 SAS 글로벌 포럼에서 SAS가 파트너십을 확장하는 이유, 그로 인해 고객이 누리게 될 혜택을 간단히 소개했습니다. 마이크로소프트, 아마존, 구글, 레드햇 지원 변화는 리스크가 아닙니다. 오랜 시간이나 엄청난 비용이 드는 것도 아닙니다.
SAS' Xilong Chen introduces the new DEEPCAUSAL procedure in SAS Econometrics for causal inference and policy evaluation and much more.
Technological advancements in connectivity and global positioning systems (GPS) have led to increased data tracking and related business use cases to analyze such movements. Whether analyzing a vehicle, an animal or a population's movements - each use case requires analyzing underlying spatial information. Global challenges such as virus outbreaks, deforestation
See how intelligent decisioning and machine learning from SAS and Microsoft help a fictitious banking customer simplify and reduce risk in its home loan portfolio.
Welcome back to my SAS Users blog series CAS Action! - a series on fundamentals. I've broken the series into logical, consumable parts. If you'd like to start by learning a little more about what CAS Actions are, please see CAS Actions and Action Sets - a brief intro. Or
This post, written by Radhikha Myeni and Jagruti Kanjia, will demonstrate how easy it is to build and deploy a machine learning pipeline by using SAS and Python. The Model Studio platform provides a quick and collaborative way to build complex pipelines by dragging and dropping nodes from a web-based
Curious about how the COVID-19 vaccine has impacted the world around you? This SAS Viya powered data visualization shows information related to the COVID-19 vaccination efforts in the United States. Here's what you can learn from this dashboard. Percentage of vaccinated Americans In August 2021, the CDC reported that over 50% of
SAS and Microsoft are working tirelessly to improve offerings and connectivity between SAS Viya and Microsoft Azure environments across industries.
In Part 1 of my series fetch CAS, fetch!, I executed the fetch CAS action to return rows from a CAS table. That was great, but what can you do with the results? Maybe you want to create a visualization that includes the top five cars by MSRP for all
In Part I of this blog post, I provided an overview of the approach my team and I took tackling the problem of classifying diverse, messy documents at scale. I shared the details of how we chose to preprocess the data and how we created features from documents of interest
Welcome to my SAS Users blog series CAS Action! - a series on fundamentals. I've broken the series into logical, consumable parts. If you'd like to start by learning a little more about what CAS Actions are, please see CAS Actions and Action Sets - a brief intro. Or if
Just over a year ago, SAS and Microsoft announced their strategic partnership. Since then we have been working together to provide the best experience and value to our customers as they migrate to the cloud. Here are six milestones you should know about; each highlights the early success of the two industry giants. The start of
SAS' Ghohui Wu shows you how to construct spatial weights matrices based on contiguity and distance measures, then shows how PROC CSPATIALREG automates spatial regression model selection.
I'm excited to curate a series of posts focused on CAS Actions. However, before I dive into details and code, I thought I'd take a moment to lay a foundation for a better understanding of CAS and CAS actions. I'll cover things here at a high level as there's quite
I'm excited to bring a series of posts centered on CAS Actions. The topics in the list below will be covered in posts set to publish in the next few weeks. Please check back often for new releases. CAS Actions and Action Sets - a brief intro - Introduction to the
Unstructured text data is ubiquitous in both business and government and extracting value from it at scale is a common challenge. Organizations that have been around for a while often have vast paper archives. Digitizing these archives does not necessarily make them usable for search and analysis, since documents are
SAS' Fijoy Vadakkumpadan, a computer vision expert, sheds light on how loadImages works in SAS Viya.
