Database Indexing Strategies to Improve Performance
Practical database indexing strategies: composite index column order, covering indexes, write cost trade-offs, index bloat, and reviewing indexes as schemas evolve.
Database Guides
Concepts and best practices for schema management across SQL dialects.
How a Caching Layer Protects Your Database and Improves Performance
How caching layers shield your database from repeat load, the difference between cache-aside and read-through, and why invalidation strategy matters most.
SQL Isolation Levels Explained: Read Committed, Snapshot, Repeatable Read, and Serializable
A guide to SQL isolation levels — Read Committed, Repeatable Read, Snapshot, and Serializable — covering trade-offs, write skew, and when to use each.
PostgreSQL to Redshift Migration: A Schema-Level Guide
How to migrate a PostgreSQL schema to Amazon Redshift: data type mapping, unenforced constraints, distribution/sort keys, and in-place ALTER limits.
MySQL vs MariaDB: Schema Differences You Need to Know
MySQL and MariaDB share a wire protocol but diverge on JSON types, sequences, generated columns, and CHECK constraint enforcement. Here's what breaks.
OFFSET vs Last ID Pagination: Which Is Better for Database Performance?
OFFSET pagination gets slower as tables grow and users page deeper in. Last ID (keyset/cursor) pagination stays fast and stable. Here's when to use each.
Views and Materialized Views Across Database Dialects
Views and materialized views rarely survive a cross-dialect migration unchanged. Here's what breaks, what Db2 MQTs and Postgres materialized views have in common, and how to migrate them safely.
Collation and Charset Pitfalls in Cross-Dialect Schema Migrations
How collation and charset defaults differ across MySQL, PostgreSQL, SQL Server, and Oracle, and how to catch mismatches before a migration ships.
Database Constraints: The Defense Layer We Often Forget
Why CHECK, UNIQUE, FOREIGN KEY, and NOT NULL constraints matter as a last line of defense against concurrency bugs and bad data, alongside app validation.
Table vs View: Performance vs Real-Time Data
Tables vs views compared: indexing, pagination, real-time reporting, and when a view is abstraction rather than a performance win.
