How do you deploy your model so that business processes can make use of it? This post explores how SAS Viya applications can directly add models to a model repository, and specifically focuses on how to deploy them with SAS Model Manager to Hadoop.
This post goes through the steps to build complex models in SAS Model Studio and publish and run them to Hadoop in SAS Viya.
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.
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.
Nearly every organization has to deal with big data, and that often means dealing with big data problems. For some organizations, especially government agencies, addressing these problems provides more than a competitive advantage, it helps them ensure public confidence in their work or meet standards mandated by law. In this
The phrase “business rules” is often loosely used. It can refer to things like constraints in a query, a data mapping, a data quality constraint, a data transformation, or a model. Business rules also reflect an enforced policy, a regulatory requirement and business constraints on model scores that trigger analytically-driven
SAS 9.4 M3, introduces a new procedure named PROC SQOOP. This procedure enables users to access an Apache Sqoop utility from a SAS session to transfer data between a database and HDFS. Using SAS PROC SQOOP lets you submit Sqoop commands from within your SAS application to your Hadoop cluster. PROC
SAS Grid Manager for Hadoop is a brand new product released with SAS 9.4M3 this summer. It gives you the ability to co-locate your SAS Grid jobs on your Hadoop data nodes to let you further leverage your investment in your Hadoop infrastructure. This is possible because SAS Grid Manager
The SAS In-Database Embedded Process is the key technology which enables the SAS® Scoring Accelerator, SAS® Code Accelerator, and SAS® Data Quality Accelerator products to function. The EP is the computation engine we place near the data, which reduces unnecessary data movement and speeds up processing and efficiency. The EP
Hadoop has been called a game changer technology. Here’s why: - DATA IS DIFFERENT: We now have to deal with both structured and unstructured data. - NO LIMITS: We now deal with Terabyte or Petabyte data size and not just with old Megabyte. - COMPLEXITY: We work with complex multi-server