Data Engineering is designing, constructing, and maintaining the architecture and infrastructure for storing, processing, and analyzing large and complex data sets to support data-driven decision-making. It involves using various tools, technologies, and techniques to manage data, ensure data quality and integrity, and make data available for analysis and visualization. Data engineering is a crucial aspect of the data science workflow and provides the foundation for data-driven insights and discoveries.
