Tag: best practices

The median lifespan of a popular data tool is about three years. The tool you master today may be deprecated or replaced...

Most pipeline failures aren't caused by bad code. They're caused by no architecture. A script that reads from an API, tr...

When an analyst finds null values in a revenue column, the typical response is to add a calculated field in the BI tool:...

A pipeline runs, processes 100,000 records, and loads them into the target table. Then it fails on a downstream step. Th...

A source team renames a column from `user_id` to `customer_id`. Twelve hours later, five dashboards show blank values, t...

"We need real-time data." This is one of the most expensive sentences in data engineering — because it's rarely true, an...

A table with 500 million rows takes 45 seconds to query. After partitioning it by date, the same query — filtering on a ...

Ask an application developer how they test their code and they'll describe unit tests, integration tests, CI/CD pipeline...

An analyst messages you on Slack: "The revenue numbers look wrong. Is the pipeline broken?" You check the orchestrator —...