Database Schema Design Best Practices 2026: Scaling for the AI Era
Database schema design best practices: normalisation vs denormalisation, JSON columns, hybrid schemas, indexing and pitfalls that hurt at scale.
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Database schema design best practices: normalisation vs denormalisation, JSON columns, hybrid schemas, indexing and pitfalls that hurt at scale.
Reverse ETL tools for Snowflake: Hightouch, Census and others compared, and how to set up your first sync from the warehouse to business tools.
Should you use Neon serverless Postgres? When branching and scale to zero help, getting started, cold-start and pricing trade-offs, alternatives.
A database stack for startups: right-sized choices for primary data, caching, search and analytics, and how to scale without overbuilding.
ClickHouse for time series data: design the schema with MergeTree, ingest efficiently, write fast aggregation queries and tune for production.
Implement Segment: load analytics.js, identify users, track events with a clean naming plan, verify data in the debugger and route it to tools.