Data Science and Data Engineering are distinct but complementary fields crucial for data utilization. Data Engineering focuses on building and maintaining the robust infrastructure for data collection, storage, and processing, ensuring data is accessible and reliable. Data Science leverages this infrastructure to extract insights, perform analyses, and make predictions, essentially turning raw data into actionable business knowledge.
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