Discover how to implement real-time forecasting using the Databricks Online Store in this 14-minute conference talk. Learn to fit hundreds of thousands of individual forecasts using Spark and Delta, and monitor them with the new capabilities of the Databricks Data Intelligence platform. Explore multiple scenarios for accessing forecasting models and in-point-lookup data outside of Databricks, utilizing Feature and Function Serving, Model Serving, and Feature Engineering with Unity Catalog. Gain insights from Anastasia Prokaieva, Specialist Solutions Architect in GenAI at Databricks, on overcoming the challenges of real-time forecasting and leveraging Databricks' tools for efficient, large-scale predictive modeling.
Overview
Syllabus
Many Model Forecasting in Real-Time With the Databricks Online Store
Taught by
Databricks
Related Courses
-
Feature Sharing and Discovery Using the Databricks Feature Store
-
Data Engineering with Databricks
-
Perform data science with Azure Databricks
-
Data Engineering using Databricks on AWS and Azure
-
Real-Time Forecasting at Scale Using Delta Lake and Delta Caching
-
Implementing End-to-End Demand Forecasting with Databricks and MLflow
