Big Data Engineering involves the design, development, and maintenance of systems that can process and store vast amounts of data (Big Data) efficiently. It encompasses various stages, including data ingestion, storage, processing, analysis, and visualization. Common uses include building data pipelines for real-time data processing, creating data warehouses and data lakes for storing structured and unstructured data, and developing scalable solutions for analyzing large datasets to extract valuable insights for business decision-making.
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