
Explore solutions for storing and managing historical data in databases, addressing complex requirements for data retention, editing, and querying while optimizing performance.

Learn to scale applications to millions of users through system design concepts like vertical/horizontal scaling, load balancing, caching, CDNs, and database optimization.

Explore Google Cloud's architecture, solving infinite scale challenges and leveraging distributed infrastructure for high-performance databases.

Explore distributed database architectures, from fundamental concepts to real-world implementations, featuring insights from DataStax's Jonathan Ellis on modern distributed systems.

Dive into the comprehensive rebuilding process of GlareDB, exploring architectural decisions, technical challenges, and innovative solutions in database system development.

Dive into multi-version concurrency control principles and implementations in database systems, exploring transaction management, version storage, and conflict resolution techniques.

Master advanced NoSQL data modeling concepts, from distributed architecture to handling large partitions, while learning to diagnose and avoid common pitfalls in database design and implementation.