Data and Databases
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Articles in Data and Databases
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Hybrid Search for AI Applications: PostgreSQL vs Vector Databases vs Search Engines
Learn how to choose between PostgreSQL, vector databases, and search engines for hybrid search in AI applications, RAG systems, product discovery, and knowledge platforms while balancing cost, accuracy, security, scalability tradeoffs today.
Database Migration Rollback Plan: A Practical Guide
Learn how to build a safe database migration rollback plan before production deployment, including risk checks, validation steps, backup strategy, testing, monitoring, recovery decisions, ownership, communication, and best practices today.
Data Quality Validation After Database Migration
Learn how to validate data quality after database migration with practical checks for row counts, duplicates, encoding issues, null values, relationships, performance, reconciliation, and rollback readiness in PostgreSQL and MySQL projects.
How to Prevent Mojibake and Data Quality Problems During Database Imports
Learn how to prevent mojibake, broken accents, unreadable Arabic text, duplicate records, bad dates, and data loss during database imports from CSV, Excel, MySQL, or legacy systems into PostgreSQL using a practical validation checklist safely.
Database Migration Checklist for PostgreSQL and MySQL
Learn how to plan a safe database migration checklist for PostgreSQL and MySQL, covering data quality, schema mapping, testing, rollback, performance, security, and production risks before moving real application data.
