Stateful Streaming with Apache Spark - Updating Decision Logic at Runtime

Learn how to implement a stateful streaming application with Apache Spark in this 25-minute conference talk from Databricks. Explore real-time decision logic for a multi-partner loyalty program, focusing on updating configurations at runtime without manual deployment. Discover techniques for reading external sources to update internal state, broadcasting state to all executors, and restoring state after restarts or failures. Gain insights into Spark Streaming, mutable broadcasts, and solving complex business challenges in data engineering.

Introduction
Problem Statement
Agenda
Example
Mutable Broadcast
Spark Streaming