SAS Viya is our latest extension of the SAS Platform and interoperable with SAS® 9.4. There were a number of SAS Viya presentations at SAS Global Forum 2018. In this series, we will review several of the most interesting talks. This post reviews Hadley Christoffels’ talk, A Need For Speed: Loading Data via the Cloud.
Tag: SAS Viya
I get asked a lot of questions by customers at all levels. They all want to know how to solve their problems, and it is part of my role to help them find answers. The range of questions is extremely broad. Data scientists want to know how they can improve
The European Union’s General Data Protection Regulation (GDPR) taking effect on 25 May 2018 pertains not only to organizations located within the EU; it applies to all companies processing and holding the personal data of data subjects residing in the European Union, regardless of the company’s location. Here are four selected SAS tools for GDPR that allow you to protect personal data in SAS reports by suppressing counts in small demographic group reports.
Analyzing ticket sales and customer data for large sports and entertainment events is a complex endeavor. But SAS Visual Analytics makes it easy, with location analytics, customer segmentation, predictive artificial intelligence (AI) capabilities – and more. This blog post covers a brief overview of these features by using a fictitious event company
A future of flying cars and Minority Report-styled predictive dashboards may still be some time away, but the possibilities of robotics and Artificial Intelligence (AI)-powered automation are a reality today. From connected cars to smart homes and offices, we see daily how big data and the Internet of Things (IoT)
What if a famous soccer team asks you to predict how many tickets for their next match will be sold to women? Seventy students from Bicocca University of Milan tried to answer this question a couple of weeks ago. They were divided into 19 groups during a hackathon that SAS
DESCENDING BY Variables in DATA Step Code that Runs Distributed in SAS Viya
La fortaleza que tiene la analítica ahora es la revolución de las tecnologías como la inteligencia artificial (IA) y el aprendizaje automático. Esta amalgama de innovaciones le da a las empresas, de todas las industrias, la oportunidad de llevar a cabo las percepciones que obtienen de sus datos a una
This post is an introduction to SAS Visual Forecasting 8.2. We'll build a Visual Forecasting (VF) Pipeline, which is a process flow diagram whose nodes represent tasks in the VF Process. The objective is to show how to perform the full analytics life cycle with large volumes of data: from accessing data and assigning variable roles accurately, to building forecasting models, to select a champion model and overriding the system generated forecast.
The release of SAS Viya 3.3 has brought some nice data quality features. In addition to the visual applications like Data Studio or Data Explorer that are part of the Data Preparation offering, one can leverage data quality capabilities from a programming perspective. Here is an overview of SAS Data Quality 3.3 programming capabilities.
You can now enable Kerberos delegation across the SAS Platform, using a single strong authentication mechanism across that single platform. As always with configuring Kerberos authentication the prerequisites, in terms of Service Principal Names, service accounts, delegation settings, and keytabs are important for success.
When speed is required at scale, it's hard to beat parallel processing data in memory with DS2 and SAS® Viya® with the amazing Cloud Analytic Services (CAS)!
Gradient boosting is one of the most widely used machine learning models in practice. See how to use gradient boosting model for classification in SAS Visual Data Mining and Machine Learning.
+Las empresas de todo el mundo están cambiando radicalmente su manera de operar y de relacionarse con clientes y socios. Se encuentran en plena transformación digital y capitalizan tendencias clave para evolucionar, como la nube, el Internet de las Cosas, la inteligencia artificial y la analítica, entre otras. De igual
In meiner Funktion als Academic Program Manager unterstütze ich Hochschulen in den Themengebieten künstliche Intelligenz (KI), Data Science und Business Analytics. Einer der am häufigsten geäußerten Wünsche ist, dass seitens SAS, Use-Cases zur Verfügung gestellt werden. Keine theoretischen Gebilde, sondern echte, reale Daten von Firmen mit einem handfesten Business-Problem, das
This is a continuation of my previous blog post on SAS Data Studio and the Code transform. In this post, I will review some additional examples of using the Code transform in a SAS Data Studio data plan to help you prepare your data for analytic reports and/or models. Create
SAS Visual Analytics 8.2 introduces the Hidden Data Role. This role can accept one or more category or date data items which will be included in the query results but will not be displayed with the object. You can use this Hidden Data Role in: Mapping Data Sources. Color-Mapped Display
SAS Viya 3.3 introduces a set of command-line interfaces that SAS Viya administrators will find extremely useful. The command-line interfaces(CLI) will allow administrators to perform numerous administrative tasks in batch as an alternative to using the SAS Environment Manager interface. In addition, calls to the CLI’s can be chained together
The R SWAT package (SAS Wrapper for Analytics Transfer) enables you to upload big data into an in-memory distributed environment to manage data and create predictive models using familiar R syntax. In the SAS Viya Integration with Open Source Languages: R course, you learn the syntax and methodology required to
In this article, I will set out clear principles for how SAS Viya 3.3 will interoperate with Kerberos. My aim is to present some overview concepts for how we can use Kerberos authentication with SAS Viya 3.3. We will look at both SAS Viya 3.3 clients and SAS 9.4M5 clients.
If you have worked with the different types of score code generated by the high-performance modeling nodes in SAS® Enterprise Miner™ 14.1, you have probably come across the Analytic Store (or ASTORE) file type for scoring. The ASTOREfile type works very well for scoring complex machine learning models like random
This article and accompanying technical white paper are written to help SAS 9 users process existing SAS 9 code multi-threaded in SAS Viya 3.3. Read the full paper, Getting Your SAS 9 Code to Run Multi-Threaded in SAS Viya 3.3. The Future is Multi-threaded Processing Using SAS® Viya® When I first began
One of the most exciting features from the newest release of Visual Data Mining and Machine Learning on SAS Viya is the ability to perform Market Basket Analysis on large amounts of transactional data. Market Basket Analysis allows companies to analyze large transactional files to identify significant relationships between items.
In this article, I want to give you an overview of the authentication options available with SAS Viya 3.3. SAS Viya 3.3, released in the second week of December 2017, and the second release with the new microservices architecture, presents more options for authentication than the previous releases. In future
En los últimos años, los algoritmos modernos de Aprendizaje Automático o mejor conocido como Machine Learning se han convertido en populares para el crecimiento en el poder de las computadoras y las comunidades de Código Abierto que permite las personas en su trabajo diario de una forma 'más fácil '.
Der Datensee wird immer voller. Aus allen Himmelsrichtugen fließen die Daten ein, nicht nur aus Exceltabellen oder aus Datenbanken, sondern zu großen Teilen aus operativen Systemen wie SAP ERP oder SAP HANA. Aber nicht genug: Sie kommen natürlich auch aus dem Internet in unseren See. Mobilen Endgeräten oder auch Sensoren an Maschinen