A semantic layer is necessary, but agents also need lineage, quality, freshness, compliance, and ownership context.
The median lifespan of a popular data tool is about three years. The tool you master today may be deprecated or replaced by the time your next project ships....
Most pipeline failures aren't caused by bad code. They're caused by no architecture. A script that reads from an API, transforms JSON, and writes to a databa...
When an analyst finds null values in a revenue column, the typical response is to add a calculated field in the BI tool. That fix doesn't fix anything.
A source team renames a column from user_id to customer_id. Twelve hours later, five dashboards show blank values, two ML pipelines fail, and the data engineering...
A pipeline runs, processes 100,000 records, and loads them into the target table. Then it fails on a downstream step. The orchestrator retries the entire job...
We need real-time data. This is one of the most expensive sentences in data engineering - because it's rarely true, and implementing it when it's not needed...
A table with 500 million rows takes 45 seconds to query. After partitioning it by date, the same query : filtering on a single day, returns in 2 seconds...
Ask an application developer how they test their code and they'll describe unit tests, integration tests, CI/CD pipelines, and coverage metrics. Ask a data e...
An analyst messages you on Slack - The revenue numbers look wrong. Is the pipeline broken? You check the orchestrator - all green. You check the target table...
Best practices documents are easy to write and hard to use. They list principles without context, advice without prioritization, and rules without explaining...