1 — Query Performance
Purpose
[stub: query-performance]
Metadata
| Author | Amit Singh |
| Scope | dbms |
Local graph
Related notes
2 — Database Tuning
Covers connection pooling, buffer pool sizing, caching, statistics, and vacuum/analyze maintenance.
3 — Common Bottlenecks
Covers the most common production bottlenecks — lock contention, hot partitions, index bloat, and deadlocks.
Database Management Systems
A book-shaped table of contents for DBMS: relational foundations through SQL mastery, storage internals, transactions, distributed databases, NoSQL, and MAANG interview prep — cross-linking existing system-design/patterns notes instead of duplicating them.
1 — Why Databases Exist
Traces the shift from file-based storage to DBMS, the problems that shift solved, and introduces OLTP vs OLAP and the CAP perspective.