Build a real-time Marketing Personalization Engine using Confluent and Databricks. Learn how to stream, process, and prepare high-quality data products with Kafka and Flink, then feed them directly into Databricks for AI-powered personalization with Tableflow with a step-by-step quickstart guide.

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Confluent and Databricks can be combined to build real-time AI applications by bridging operational and analytical data systems. The tutorial demonstrates creating an AI-powered marketing personalization engine using Tableflow to convert Kafka topics into Delta Lake tables, Apache Flink for stream processing, and Oracle CDC connectors for real-time data ingestion. The example implementation helps a fictional hotel brand identify low-booking properties and generate targeted promotional campaigns using AI-generated content.

Build an AI Personalization Engine with Confluent & Databricks

Deploy an AI Strategy That Bridges the Operational and Analytical Divide

Fuel AI With Trustworthy, Real-Time Data Products

Quick Start: Build an AI-Powered Marketing Personalization Engine