Thursday, February 19, 2026

Oracle to PostgreSQL SQL Conversion Guide: Real-World Examples for DBAs

Oracle to PostgreSQL SQL Conversion Guide: Real-World Examples for DBAs

Oracle to PostgreSQL SQL Conversion Guide: Real-World Examples for DBAs

Complete Syntax Mapping, Function Conversion, and PL/SQL to PL/pgSQL Migration
📅 February 06, 2026
👤 Chetan Yadav - Senior Oracle & PostgreSQL DBA
⏱️ 22-24 min read
⏱️ Estimated Reading Time: 22–24 minutes
🔄 Oracle → PostgreSQL - Real Production SQL Conversions with Before/After Examples

We had 847 stored procedures written in Oracle PL/SQL. The CTO announced we were moving to PostgreSQL to cut licensing costs by $200,000 annually. The migration deadline was three months away.

I spent the first week manually converting procedures. At that pace, I'd finish in 18 months. That's when I realized: most Oracle-to-PostgreSQL conversions follow predictable patterns. Once you know these patterns, conversion becomes systematic, not guesswork.

Code editor showing SQL database migration from Oracle to PostgreSQL with syntax conversion and programming workflow

Oracle to PostgreSQL migration isn't about rewriting everything from scratch. 70-80% of SQL works with minor syntax adjustments. The remaining 20-30% requires understanding key differences in how each database handles data types, functions, and procedural logic.

This guide covers real production SQL conversions from Oracle to PostgreSQL. If you're an Oracle DBA planning a PostgreSQL migration, these are the patterns, gotchas, and solutions that actually work.

Monday, February 16, 2026

Automating Backup and Restore in Oracle 19c and 23ai: Complete DBA Guide

Automating Backup and Restore in Oracle 19c and 23ai: Complete DBA Guide

Automating Backup and Restore in Oracle 19c and 23ai: Complete DBA Guide

Production-Tested RMAN Automation Scripts and Recovery Strategies
📅 February 05, 2026
👤 Chetan Yadav - Senior Oracle & Cloud DBA
⏱️ 18-20 min read
⏱️ Estimated Reading Time: 18–20 minutes
💾 Oracle RMAN Automation - From Manual Backups to Fully Automated Recovery

At 3 AM on a Tuesday, our production Oracle 19c database crashed. Corrupted datafile. The application team was screaming. The CTO was on the call. Everyone looked at me.

I typed one command: ./restore_prod.sh PRODDB 2026-02-04_23:00. Twenty-three minutes later, the database was back online with zero data loss. The automated backup and restore framework I'd built six months earlier just saved our jobs.

Automated backup systems and data storage visualization representing Oracle RMAN backup automation and disaster recovery infrastructure

Manual backup and restore processes are where Oracle DBAs lose the most time. Automating RMAN backups isn't about convenience—it's about reliability, consistency, and being able to restore in minutes instead of hours when production is down.

This guide covers production-tested automation frameworks for Oracle 19c and 23ai. If you're still running manual RMAN scripts or struggling with backup consistency, these patterns will save you hours every week and make disaster recovery predictable.

Thursday, February 12, 2026

Multi-Cloud Database Architecture: Oracle, AWS, Azure, GCP Reference Guide (2026)

Multi-Cloud Database Architecture: Oracle, AWS, Azure, GCP Reference Guide

Multi-Cloud Database Architecture: Oracle, AWS, Azure, GCP Reference Guide

Production-Proven Reference Architectures for Enterprise DBAs
📅 February 04, 2026
👤 Chetan Yadav - Senior Oracle & Cloud DBA
⏱️ 20-22 min read
⏱️ Estimated Reading Time: 20–22 minutes
☁️ Multi-Cloud Database Architecture - Oracle, AWS RDS, Azure SQL, GCP AlloyDB

Six months ago, our CTO announced we were moving to a "multi-cloud strategy." The board wanted vendor independence. Engineering wanted best-of-breed services. Finance wanted competitive pricing.

I was the DBA who had to make it actually work.

Cloud computing infrastructure with interconnected networks representing multi-cloud database architecture across Oracle, AWS, Azure, and GCP platforms

Designing multi-cloud database architecture isn't about running the same database everywhere. It's about knowing which workload belongs on which platform, how to synchronize data across clouds, and when vendor lock-in is actually acceptable.

This guide covers reference architectures from production systems running across Oracle on-premises, AWS RDS, Azure SQL Managed Instance, and GCP AlloyDB. If you're a DBA planning or managing multi-cloud databases, these are the patterns that work.