Advanced Databases: Scaling, Distributed Systems & Big Data

This is not a beginner’s book.
It’s for developers ready to level up from intermediate to advanced and learn how to scale databases like the world’s biggest tech companies.

🚀 What you’ll master inside:

• High-performance indexing, caching & sharding
• Distributed systems (CAP theorem, Raft, Paxos)
• Replication strategies for global availability
• OLTP vs OLAP, Data Warehousing, Streaming (Kafka, Spark)
• Wide-Column, Time-Series, and Graph Databases
• Security & Compliance (GDPR, HIPAA, SOC2)
• Future-proof systems: Serverless DBs, Vector Search, AI-driven optimization
• Multi-model databases (CosmosDB, ArangoDB, etc.)

✅ Hands-On Labs & Case Studies

• Build replication, sharding, and caching into a scalable microblog system
• Learn from Netflix, Uber, Instagram, and Twitter architectures
• Apply labs with Postgres, Redis, Cassandra, Kafka, Neo4j, TimescaleDB

⚡ By the end:
You won’t just “know databases” — you’ll think like a systems architect who can design, optimize, and scale production-ready systems.