What is big data engineering and how does it differ from traditional data engineering?

Big data engineering is a field that focuses on the design, development, and implementation of systems and processes to manage and process large volumes of complex and diverse data sets, commonly referred to as big data. It involves the use of various technologies, tools, and techniques to collect, store, process, and analyze data in order to extract valuable insights and support decision-making. Traditional data engineering, on the other hand, deals with the management and processing of structured and relatively smaller data sets that can be easily stored and processed using traditional relational databases and data processing frameworks. It primarily focuses on designing and building data pipelines, data warehouses, and data integration solutions for structured data. The main difference between big data engineering and tradit....