Advanced data modeling techniques for Cassandra
Channel: The ASF
Date: 2020-10-21

Advanced data modeling techniques for Cassandra
Arturo Hinojosa, Michael Raney

A presentation from ApacheCon @Home 2020
https://apachecon.com/acah2020/

Whether your storing timeseries data for a messaging app or device metadata for an industrial IoT application, your Cassandra data model can have a massive impact on your application’s performance and scalability. In this talk, we will walk through advanced techniques and best practices for building highly scalable, fast, and robust data models. You will learn how to model your data based on your queries and access patterns to ensure you have well-distributed data that will enable your application to scale up as traffic grows. We will talk through examples of deformalizing data, modeling complex relationships, and optimizations that you can apply to your schemas and data models to improve performance.

Arturo Hinojosa:
Arturo Hinojosa is a Principal Product Manager on the Amazon Keyspaces (for Apache Cassandra) team at Amazon Web Services (AWS). Arturo is responsible for Amazon Keyspaces' overall product strategy and has been with AWS for over four years.
Michael Raney:
Michael is the lead specialist solution architect (SA) for Amazon Keyspaces (for Apache Cassandra). As the lead SA for Amazon Keyspaces, Michael works with customers every day to design cloud-based NoSQL solutions for large-scale distributed systems.