As a data scientist, did you ever come to the point where you felt the need for an evolved analytics platform bringing together the disparate skills of open source and commercial software? A system that can enable advanced analytic capabilities. This is now possible and easy to implement. With many
Analytics can bring tremendous value to a business. However, investing in an analytics solution is often easier said than done. The key challenge is demonstrating the value of analytics without first investing in technology and resources. The solution? Take a results-based approach to establish the value of analytics by using
In the article Serverless functions and SAS Viya - a good match I discussed using serverless functions to deliver SAS Viya applications. Ignoring all the buzz words, a serverless function boils down to a set of REST APIs. So, if you tried the example you are now a REST API
At the end of my SAS Users blog post explaining how to install SAS Viya on the Azure Cloud for a SAS Hackathon in the Nordics, I promised to provide some technical background. I ended up with only one manual step by launching a shell script from a Linux machine
You are a data scientist, in your office, doing data scientist-y things when, your manager's, manager's, manager makes an impossible request. She wants you take a raw data set from the stem cell research team, scrub the data, create and score models, and be ready to rescore when new data
Also celebrating is your bank's branch manager. She was skeptical when headquarters analysts equipped branches for "Cloud-based application using SAS" , saying it would speed up loan applications. But your quick, frictionless transaction proved them right.The bank's accountants are happy too. The new pay-as-you-go mode of using SAS software in
I don't know about you, but when I read challenges like: Detecting hidden heart failure before it harms an individual Can SAS Viya AI help to digitalize pension management? How to recommend your next adventure based on travel data How to use advanced analytics in building a relevant next best
PC Magazine defines the broad industry term Software as a Service (SaaS) as, “Software that is rented rather than purchased. Instead of buying applications and paying for periodic upgrades, SaaS is subscription based, and upgrades are automatic during the subscription period.” SaaS, according to the same source, is ideally suited
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.
2018, el año de la economía analítica Imaginemos que para formar una beta que crece continuamente está basada en datos generados diariamente por una organización –a partir de sus actividades productivas, transacciones y relaciones con clientes y proveedores, por ejemplo. Ese cúmulo de información no tiene ninguna valía per se;
If you’re doing data processing in the cloud or using container-enabled infrastructures to deploy your software, you’ll want to learn more about SAS Analytics for Containers. This new solution puts SAS into your existing container-enabled environment – think Docker or Kubernetes – giving data scientists and analysts the ability to
.@philsimon on the specific risks to data quality posed by cloud computing.
.@philsimon with some thoughts on the panoply of available tools out there.
With Big Data, there are far more technical questions than answers.
SAS recently performed testing using the Intel Cloud Edition for Lustre* Software - Global Support (HVM) available on AWS marketplace to determine how well a standard workload mix using SAS Grid Manager performs on AWS. Our testing demonstrates that with the right design choices you can run demanding compute and
In my last blog post, I introduced SAS Visual Analytics for UN Comtrade, which helps anyone glean answers from the most comprehensive collection of international trade data in the world. I’d like to share some of what we learned in the development process as it pertains to big data, high
This is the last of my series of posts on the NIST definition of cloud computing. As you can see from this Wikipedia definition, calling anything a “cloud” is likely to be the fuzziest way of describing it. In meteorology, a cloud is a visible mass of liquid droplets or frozen
In a recent post, I talked about the 5 essential characteristics of cloud computing. In today’s post, I will cover the three service models available in the cloud as they are defined by the National Institute of Standards and Technology, or NIST. Like the story of Goldilocks, when it comes
If someone asks you whether SAS runs in the cloud, there are exactly two wrong answers: "yes" and "no". Instead, this question should spark a discussion. It should be a discussion about which of the five characteristics of cloud computing they are interested in. The answers will point you in
I vividly remember the process of changing TV channels when I was a kid. Turn the channel select knob, turn a dial to rotate the antenna, then make fine adjustments to tune in the channel. This process usually resulted in an adequate picture, but it required considerable effort, the quality
Among the volumes of information about SAS we were showered with during our new SAS employee orientation, two seemingly insignificant tidbits stuck in my mind. SAS has dedicated about 12 acres of its campus grounds to a state-of-the-art solar farm. SAS prefers employment to outsourcing. Thus, the people we would
Goha, an Egyptian male folk character, has been often used to convey wise nuggets in the fashion of Aesop's Fables, with a satirical twist. So Goha was once found, at his wits end, looking for his donkey. A passer-by notices his befuddlement and the following dialogue ensues. - "Goha, what's
At SAS, our marketing and R&D divisions work together with customers to develop software products. Droves of our developers attend SAS users group conferences to talk to customers, demo new technologies and get user feedback. We have three customer advisory boards who tell us how they’re using SAS products, what
