Database Insights

Design MongoDB sharded clusters — choose shard keys, manage chunk balancing, and avoid hot shards in production

Deep dive into InnoDB storage engine internals. Understand buffer pool, redo log, undo log, change buffer, and adaptive hash index for expert-level MySQL optimization.

Understand the differences between OLAP and OLTP systems — query patterns, storage engines, and when to use a hybrid approach

Navigate the complex landscape of database technologies. Compare SQL vs NoSQL, OLTP vs OLAP, and learn decision frameworks for selecting the perfect database for your use case.

Process DynamoDB Streams with Lambda for change data capture, cross-region replication, and event sourcing

Master horizontal and vertical partitioning, plus database sharding strategies for handling billions of records. Learn partition pruning, shard key selection, and cross-shard query optimization.

Apply DynamoDB advanced patterns — GSI overloading, sparse indexes, single-table design, and access pattern modeling

Understand FoundationDB's architecture — ACID transactions, layers, and why Snowflake and Apple chose it

Discover how jemalloc, tcmalloc, and mimalloc can dramatically improve MySQL memory management. Real benchmarks showing 2-4x performance improvements and memory leak prevention.