Discover how to accelerate MLOps using Apache Spark and SingleStore in this informative 25-minute webinar from Databricks. Learn to architect Spark and SingleStore together for building high-speed analytical applications, develop and manage supervised learning models in PySpark, and deploy them as ANSI SQL in operational databases for enhanced scalability. Explore the benefits of centralizing AI/ML operations in databases to boost data science initiatives. Gain insights into the latest SingleStore Spark Connector and its role in creating a powerful platform for data integration and advanced analytics. Understand how this combination offers data engineers and data scientists an ultimate solution to speed up AI and Machine Learning development and deployment.
Overview
Syllabus
Introduction
Agenda
Demo Overview
Data and ML
Realtime execution
Database
Optimization
Life Cycle
Demo
Call to Action
Taught by
Databricks
