Handling Database Migrations Safely in Production
Database migrations are the riskiest routine operation most teams run. Here’s how to make schema changes safely without risking downtime or data loss.
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Database migrations are the riskiest routine operation most teams run. Here’s how to make schema changes safely without risking downtime or data loss.
A data warehouse exists to separate analytical workloads from production databases. Here’s an introduction to columnar storage, star schemas, and modern cloud warehouses.
A data pipeline moves data from production systems to where it can be analyzed. Here’s how to design one that’s reliable, idempotent, and doesn’t silently corrupt your analytics.
Every index trades write performance for read speed. Here’s how to design indexes that actually match your real query patterns instead of guessing.
SQL and NoSQL databases optimize for different access patterns. Here’s how to match your database choice to your actual data shape and consistency needs.