Compute, Store, and Visualize Results with Amazon MemoryDB for Redis

70 Views

Thanks! Share it with your friends!

You disliked this video. Thanks for the feedback!

Published Feb 20, 2025

In this video, we’ll show you how to process event data and compute your gaming leaderboard using Apache Flink, before storing the results to Amazon MemoryDB for Redis, and visualizing them with Grafana. You’ll see a deep dive into Redis data structures that combine with Apache Flink patterns, to power a gaming leaderboard. We’ll also discuss how to use a Lambda function that continuously sends queries from Apache Flink to Redis, and visualizes these results with Grafana dashboards.

In this series, Anand Shah (Data Analytics and Streaming Specialist at AWS) will help you build a modern data streaming architecture for a real-time gaming leaderboard. This architecture includes data ingestion, real-time enrichment with database change data capture (CDC), data processing, as well as computing, storing and visualizing the results. You will also learn advanced streaming analytics techniques, such as the control channel method for A/B testing, updating features and parameters with zero downtime, and how to handle late arrival of data. Anand will also talk you through the process of data de-duplication, as well as how you can store historical data for replay on-demand.