Data Engineering
Data Engineering is a specialized discipline at the intersection of Computer Science and Data Science that focuses on designing, building, and maintaining the large-scale systems and infrastructure required for data collection, storage, and processing. Practitioners, known as data engineers, construct robust data pipelines, manage databases, and create data warehouses and data lakes to transform raw data into a clean, reliable, and accessible format. By providing this foundational architecture, data engineering enables data scientists and analysts to efficiently perform analyses and build machine learning models, thus serving as the critical backbone for all data-driven operations within an organization.