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Backend flows explained deeply
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Module 6
Advanced Database Patterns and Optimization
1
Database Normalization and 3NF Schema Design
Explain the principles of database normalization and apply them to design a schema in Third Normal Form (3NF).
2
Denormalization for Performance: Trade-offs Explored
Describe denormalization as a performance optimization technique, outlining its trade-offs.
3
Understanding Database Join Algorithms
Describe how the database executes joins internally (e.g., nested loop, hash join, merge join).
4
Database Locking and Deadlocks
Explain database locking mechanisms (row-level, table-level) and how deadlocks occur.
5
Write-Ahead Logging (WAL) for Durability and Recovery
Describe write-ahead logging (WAL) and its role in ensuring durability and crash recovery.
6
Primary-Replica Replication for Read Scaling
Explain primary-replica replication and how read replicas help scale read-heavy workloads.
7
Sharding: Scaling Databases Horizontally
Describe sharding as a horizontal scaling strategy, including its common patterns and challenges.
8
Optimizing Slow Queries with Indexing and EXPLAIN ANALYZE
Optimize a set of slow queries on a sample schema using indexing, query rewriting, and `EXPLAIN ANALYZE`.
Previous module
Database Internals: How Data is Stored and Retrieved
Next module
Tracing the Complete Request Lifecycle