Workshop. Building an efficient data model for high-performance applications with Apache Cassandra (part 1)

High performance and scalability Apache Cassandra is a shared responsibility: it's not enough just to deploy a cluster, you need to think about data partitioning and take into account some nuances. According to Datastax, most of the problems with Cassandra are caused by an incorrect data model, which leads to decreased performance, reduced extensibility, and many other problems.

As part of this report, we will study the Data Modeling Methodology, step by step consider the basic principles of creating an effective data model. Let's get acquainted with typical cases and common mistakes, learn the rules that will help you get the most out of your DBMS, and avoid common problems.