Amazon Keyspaces (for Apache Cassandra) is a globally scalable, serverless, fully managed database service with up to 99.999% availability. In this session, learn how GE Vernova, a leader in electrifying and decarbonizing the world, uses Amazon Keyspaces to store and query a massive 600 TB of industrial time-series data for its Asset Performance Management (APM) software. Dive deep into GE’s 600 TB migration from ScyllaDB to Amazon Keyspaces, and explore the benefits it observed, including improved availability and scalability. Gain insights into the AWS services it utilized and the challenges it overcame during this large-scale migration.

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🌟 Session Overview 🌟

Session Name: Maximising Cassandra's Potential: Tips on Schema, Queries, Parallel Access, and Reactive Programming Speaker: Hartmut Armbruster Session Description: In this talk, we will design the backend and data layer for a data-rich social platform feed tailored to authenticated users.

We will begin with UI wireframes and then develop logical and physical Cassandra data models and query patterns. Using reactive programming paradigms, we will optimize the process flow to efficiently execute queries in parallel.

Finally, we will implement a Proof of Concept (POC) using Kotlin, Quarkus, and Mutiny. While reactive programming can initially seem intimidating, it becomes productive, elegant, and even enjoyable once you become familiar with it.

This talk aims to inspire new ideas and showcase what’s possible with a modern, tailored, and efficiently utilized stack.

Prior knowledge of Cassandra Query Language (CQL), data partitioning/sharding concepts, and reactive programming is beneficial but optional.

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