9 articles in this category
You know the pitch: 'We'll just rewrite the ETL. It's straightforward—map fields, copy logic, done.' Four months later, the finance team is screaming ...
You've done the lift-and-shift. The old Oracle PL/SQL packages now run as AWS Glue jobs. The cron-driven shell scripts are Airflow DAGs. And everythin...
You just migrated a legacy ETL pipeline to a modern stack. First run: costs triple. Second run: five times. Somewhere, data got copied twice — or thre...
Let's be honest: most ETL migrations copy the old partitioning scheme because it's familiar . But familiar doesn't mean good. You know the drill—year/...
You've got a legacy ETL pipeline that's been running for years. Nobody remembers who wrote it, and the documentation is a sticky note on a monitor. Bu...
You've been through the legacy ETL grind. 3 AM batch failures. A single node that melts under the Tuesday morning load. The DBA who 'knows where the b...
You have a legacy ETL setup that has been running for years—maybe a decade. It works. Mostly. Then someone says, 'Let's transition it to the cloud.' A...
You inherit a 15-year-old ETL setup. The original crew is gone. Documentation? A solo text file with 'TODO: explain this' scrawled at the bottom. The ...
You have been staring at that legacy ETL pipeline for years. It works—mostly. But every month-end load requires a fire drill, and the data crew secret...