Modern data engineering isn’t about building pipelines — it’s about building trust, reliability, and cost-aware systems. This article reframes the role and explains what experienced engineers actually do.

Parquet, ORC, Arrow, Delta, Iceberg, and Hudi — not just file formats, but architectural levers. Storage layout, compression, and schema semantics define how data moves, scales, and fails across distributed systems.

Learn how to manage the machine learning lifecycle with MLOps. Follow a fintech team’s journey to build, deploy, and monitor a fraud detection model, ensuring scalability and GDPR compliance.

Explore the 4 types of analytics—descriptive, diagnostic, predictive, prescriptive—and learn how they drive business decisions with real-world examples.