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Data Engineering is the process of organizing, managing, and analyzing large amounts of data . It's a key component in the world of data science, but it can be used by anyone who has to deal with big data regularly. Data engineering involves designing, constructing, and maintaining data architectures and systems. It focuses on transforming raw data into valuable information through processes such as ETL (Extract, Transform, Load). Data engineers use various tools and technologies to build data pipelines and ensure data quality. This field is essential for enabling data -driven decision-making within organizations. Data Engineering 101 This article will provide a comprehensive overview of Data Engineering ... Want to become a data engineer but not sure where to start? This beginner-friendly guide simplifies everything to help you break into data engineering with confidence.