Data & Database Workflows (page 31 of 40)
PostgreSQL, SQL, CSV, JSON, Excel, PDF, and conversion pipelines — practical workflows for working with structured data safely.
- What Is Power Query
A simple explanation of what Power Query is and how it helps with cleanup, reshaping, and refresh workflows.
- What Is SQL and How Does It Work
A beginner-friendly explanation of what SQL is and how it works in practical data workflows.
- When To Move From Excel To PostgreSQL
A practical guide to knowing when to move from Excel to PostgreSQL, including warning signs, migration triggers, common team pain points, hybrid workflows, and a step-by-step transition plan.
- XLOOKUP Explained With Examples
A practical guide to XLOOKUP with examples for matching IDs, returning values from other tables, handling missing results, searching from the bottom, and replacing older lookup patterns.
- XLOOKUP In Google Sheets
A practical guide to XLOOKUP in Google Sheets covering syntax, exact matches, missing-value handling, common business examples, troubleshooting tips, and modern lookup workflows.
- Best PostgreSQL Data Types for Performance
A practical guide to choosing the best PostgreSQL data types for performance, storage efficiency, indexing, and long-term schema design.
- Best PostgreSQL Indexes for Performance
A practical guide to the best PostgreSQL indexes for performance, with examples for common query patterns and the mistakes that make indexes slower instead of faster.
- Best PostgreSQL Tips for Backend Developers
A practical guide to the best PostgreSQL tips for backend developers, with real advice on schema design, indexes, query tuning, JSONB usage, transactions, and production-friendly database habits.
- Common PostgreSQL Mistakes Developers Make
A practical guide to the most common PostgreSQL mistakes developers make, with fixes for schema design, indexing, transactions, migrations, JSONB, pooling, and production-safe query habits.
- Common PostgreSQL Performance Bottlenecks and Fixes
A practical guide to common PostgreSQL performance bottlenecks and fixes, with clear advice on diagnosing slow queries, planner issues, indexing mistakes, vacuum problems, memory pressure, and application-side causes.