This project contains Terraform configuration files to provision infrastructure components required to deploy SAS Viya platform products on Microsoft Azure Cloud.

Repository to share SAS Studio Custom Steps. A custom step enables you to create a user interface for SAS Studio users at your site to complete a specific task.

SAS Viya Administration Resource Kit (SAS Viya ARK). Tools and utilities to help SAS customers with SAS Viya readiness.

This project contains Terraform configuration files to provision infrastructure components required to deploy SAS Viya platform products products on Amazon AWS.

This project contains Terraform scripts to provision cloud infrastructure resources, when using vSphere or bare-metal, and Ansible to apply the needed elements of a Kubernetes cluster that are required to deploy SAS Viya platform product offerings.

This project contains Terraform configuration files to provision infrastructure components required to deploy SAS Viya platform products on Google Cloud

About this Professional Certificate: When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare y…

Three business analytics case studies were undertaken, encompassing market basket analysis, customer segmentation, and campaign management. SAS Visual Data Mining and Machine Learning on SAS Viya was utilized to explore data and provide insights. A comprehensive report addressing both technical and business aspects was delivered.

This repository provides a SAS Studio Custom Step that enables users to perform aggregations on Parquet files using DuckDB's columnar query engine. The custom step eliminates the need to manually write DuckDB SQL by providing a graphical interface that generates and executes optimized aggregation queries through explicit passthrough to DuckDB via t

Este repositório reúne os materiais essenciais para ajudá-lo a construir aplicações robustas e eficientes com o SAS Job Execution.

A repository for sharing custom windows created with SAS Event Stream Processing Studio. A custom window is a Python or Lua code file which also contains some configuration details.

This repository is dedicated to showcasing machine learning and analytics projects using SAS Viya, a powerful and scalable platform for data analysis, modeling, and deployment. Here, you will find a collection of projects, code samples, and resources to help you learn and apply machine learning techniques using SAS Viya to different case studies.

WIP folder for SAS Studio Custom Step NLP - Extract Rule Configuration

This repository contains about my weekly projects from Big Data Analytics II course at my college

Upstream repository for the Find Nearest Neighbors Custom Step, which searches a base table to identify nearest neighbors to observations in an input query table, based on a distance formula. Note downstream contribution is part of https://github.com/sassoftware/sas-studio-custom-steps

Applied SAS techniques for data analysis and machine learning in a milestone project. Base SAS Programming and SAS Viya tools were utilized for preprocessing, customer profiling, sales analysis, promotions, supplier evaluation, and customer segmentation. Results were visualized comprehensively.

This repository provides a Python class and associated methods to facilitate access to the content of SAS Studio Custom Steps.

The Nominal Dimensionality Reduction repository provides a SAS Studio Custom Step for reducing the dimensionality of nominal (categorical) variables using SAS's PROC NOMINALDR procedure.

Python code and application to help users interact with Azure Blob storage for common operations.

View this as both a general purpose "data profiler" and as tool to provide summary statistics at an earlier stage in the Analytics Life Cycle to inform data configuration decisions in Data Maker (a synthetic data generation application).