Data engineering

Field within data science that focuses on the practical application of data collection and data pipeline management. It involves the development, construction, maintenance, and optimization of the infrastructure that allows for the collection, storage, and analysis of data, utilizing tools and frameworks like Hadoop, Spark, and Kafka. Data engineering primarily benefits data scientists, analysts, and other stakeholders who require accessible and usable data for various analytical and operational purposes.