Data engineering is the practice of designing, building, and maintaining large-scale data systems that can handle massive amounts of data. It involves a range of activities, including data ingestion, processing, storage, and retrieval. Data engineers use a variety of tools and technologies to build data pipelines, data warehouses, and data lakes that can support a wide range of use cases, from business intelligence and analytics to machine learning and data science.
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