Idempotent Pipelines: Build Once, Run Safely Forever
February 19, 2026A 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...
Written by Alex Merced Developer from devNursery.com and alexmercedcoder.dev You should follow him on Twitter and checkout his articles on LogRocket.
Schema Evolution Without Breaking Consumers
February 19, 2026A 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...
Batch vs. Streaming: Choose the Right Processing Model
February 19, 2026We 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...
Partition and Organize Data for Performance
February 19, 2026A 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...
Testing Data Pipelines: What to Validate and When
February 19, 2026Ask 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...
Pipeline Observability: Know When Things Break
February 19, 2026An 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...