Operationalizing Apache Spark MLlib Models with SAS Model Manager
Offered By: Databricks via YouTube
Course Description
Overview
Learn how to operationalize Apache Spark analytics in this 23-minute video from Databricks. Discover how to integrate Apache Spark MLlib models with SAS Model Manager and SAS Workflow Manager on the SAS Viya Platform. Explore the use of Apache Livy REST API service and SAS Workflow REST API Services to create an automated model lifecycle management solution. Gain insights into building, registering, comparing, testing, approving, publishing, monitoring, and retraining Spark MLlib models in a controlled and efficient manner. Understand how this build-once, use-many business process management approach reduces manual intervention and accelerates the deployment of Spark analytics while maintaining model governance. Cover topics including PMML, Apache Livy, SAS Model Manager, model management processes, model performance reporting, and retraining strategies.
Syllabus
Introduction
Agenda
PMML
Apache Livi
SAS Model Manager
Model Management Process
Model Performance Report
Retraining
Taught by
Databricks
Related Courses
Curso Completo de Spark con Databricks (Big Data)Coursera Project Network via Coursera Machine Learning con Spark (MLlib) en Databricks
Coursera Project Network via Coursera ML y Big Data con PySpark para la retención de clientes
Coursera Project Network via Coursera Machine Learning y Regresión con PySpark. Guía paso a paso
Coursera Project Network via Coursera Taming Big Data with Apache Spark and Python - Hands On!
Udemy