Databases Storage Caching

The chapters in this module, in reading order.

#	Chapter
00	Databases, Storage, and Caching — The Five-Year-Old Version
01	Relational Data Modeling — Put every fact on the right labeled shelf
02	NoSQL Document and Key-Value — Flexible boxes can share one shelf
03	Wide-Column and Graph — Specialized shelves win when the goods are unusual
04	Storage Engines: B-Tree and LSM — How the shelf is physically built changes everything
05	Indexing and Query Plans — Build the right card catalog for the right search
06	Transactions and Isolation — Keeping Data Consistent Under Pressure
07	Replication Strategies — Spreading Data Across Machines
08	Partitioning and Sharding — Splitting Data That Is Too Big for One Machine
09	Caching Patterns Deep Dive — Reading Fast Without Touching the Database
10	Object Storage and Data Lakes — Storing Everything You Cannot Afford to Keep in a Database
11	Search and vector stores — finding the right book, and the right idea
12	Connection pooling — too many people, too few counters
13	CAP theorem in practice — when branch copies disagree, who gets to answer
14	Honest admission — where database confidence should end, and good judgment should begin