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Industrial data management relies heavily on database management systems to effectively support data storage, processing, and retrieval. The unique characteristics of industrial applications, which are often data and knowledge-intensive, pose challenges for management. The integration of new technologies like the Web and artificial intelligence further complicates these requirements. The book explores two levels of information modeling—conceptual and logical—and emphasizes the importance of developing a conceptual data model that can be transformed into a logical database schema for effective information system construction.
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