Semantic type privacy, DATA steps in SingleStore, new SAS Studio steps | SAS Viya April 2024 Release
NEWS YOU CAN USE
In this month's edition of our SAS Viya Release Updates, you'll find out how to change the privacy level of a semantic type in the SAS Information Catalog, run SAS DATA step code directly in SingleStore, and check out the eight new steps added to SAS Studio.
Plus, learn how to automatically add missing values in our tip of the month. Happy reading!
NEW VIYA FEATURES
Check out these new features and what they mean for you.
Product: SAS Information Governance
New feature: Review and manage semantic types.
Description: Through the new classifications UI inside of SAS Information Catalog, authorized users can change the information privacy level of a semantic type. Learn more.
Product: SAS Viya with SingleStore
New feature: Run DATA steps directly in SingleStore.
Description: SAS Viya with SingleStore is now able to run SAS DATA step code directly in SingleStore. Learn more.
Product: SAS Studio
New feature: Eight new steps in SAS Studio – from preparing data to machine learning.
Description: The latest release of SAS Studio Analyst and SAS Studio Engineer gives you eight new steps ranging across the different capabilities of SAS Viya. Learn more.
SPOTLIGHT USE CASE
Review and manage semantic types
Depending on your organization's needs, you might need to increase or decrease the sensitivity of personal identifiable information (PII) within your SAS Viya environment. Now you can change the default classifications inside SAS Information Catalog, and the corresponding flags that appear on a table level inside of SAS Information Catalog and SAS Visual Analytics will change accordingly. This allows you to easily control the privacy level of data.
TIP OF THE MONTH
Brought to you by David Weik
Senior Pre-Sales Solutions Architect, SAS
As you are building your decisions, you are continuously adding more and more elements to them. You might be pulling in a prebuilt rule set, or you might be adding a model to the decision that a data scientist built. Along the way, you may have to add more and more missing variables, which can feel a bit cumbersome. That is a perfect opportunity to go into the SAS Intelligent Decisioning application settings and check the box to automatically add missing variables for you.
