Implementing Library Analytics with Spring Data Cassandra

Modern applications require highly performant, distributed databases to handle massive volumes of tracking and analytics data without slowing down user operations. This course introduces you to the core principles of using Cassandra alongside Spring Boot to manage real-time event tracking and metrics. You will start by understanding how Cassandra's distributed architecture differs from traditional relational databases, learning how to model data specifically for fast writes and high-volume analytical reads. Next, you will transition into writing clean, maintainable Java code to implement essential tracking features. What you'll learn: Understand Cassandra's architecture, partition keys, and clustering columns for analytical workloads; Configure Spring Data Cassandra repositories to execute efficient read and write queries; Implement real-time counters to track book views, borrow events, and user ratings; Apply modern Java type hints and record structures to model clean domain entities; Practice writing integration tests using modern test containers to validate database interactions. This text-based guide takes you from foundational NoSQL database concepts through to building a fully functional tracking engine for a library system. This course is designed for Java developers who are new to Cassandra and want to expand their skills into distributed NoSQL databases; no prior Cassandra experience is required. Start building robust, high-throughput data pipelines today.