Learn How Disney+ Built Their Streaming Data Analytics Platform With Databricks and AWS to Improve the Customer Experience

https://youtu.be/WAOrqsHpJuM

Martin Zapletal, Software Engineering Director at Disney+, is presenting at re:Invent 2020 with the session "How Disney+ uses fast data ubiquity to improve the customer experience".

In this breakout session, Martin showcases Disney+’s architecture using Databricks on AWS for processing and analyzing millions of real-time streaming events.

Abstract:

Disney+ uses Amazon Kinesis to drive real-time actions like providing title recommendations for customers, sending events across microservices, and delivering logs for operational analytics to improve the customer experience. In this session, you learn how Disney+ built real-time data-driven capabilities on a unified streaming platform. This platform ingests billions of events per hour in Amazon Kinesis Data Streams, processes and analyzes that data in Amazon Kinesis Data Analytics for Apache Flink, and uses Amazon Kinesis Data Firehose to deliver data to destinations without servers or code. Hear how these services helped Disney+ scale its viewing experience to tens of millions of customers with the required quality and reliability.

You can also check out the Databricks Quality of Service blog/notebook based on a similar architecture if you want to see how to process streaming and batch data at scale for video/audio streaming services. This solution demonstrates how to process playback events and quickly identify, flag, and remediate audience experience issues.