Pipelines

Data Engineering for Modern Pipelines Data engineering is about moving data from many sources to places where teams can analyze and act. Modern pipelines combine batch work and real-time processing to support dashboards, alerts, and reports. The goal is reliable data that arrives on time, with clear expectations about format and quality. This requires a system built from small, well tested steps rather than a single, fragile script. A modern pipeline has stages: ingestion, cleaning, transformation, storage, and serving. Data contracts define what data must look like—names, types, ranges, and quality checks. Schema evolution and versioning help teams adapt without breaking downstream users. ...