The book "Data Warehouse and Data Mining Concepts, Techniques, and Real-Life Applications" provides a comprehensive overview of data warehousing and data mining concepts, techniques, and their practical applications in various industries. The book covers the fundamental principles of data warehousing, data mining, and business intelligence, as well as advanced topics such as data governance, data quality, and data visualization. It also explores the latest trends and technologies in data warehousing and data mining, including big data analytics, cloud computing, and machine learning. The book is divided into four parts: Part I provides an introduction to data warehousing and data mining, including the history, evolution, and current state of these fields. Part II delves into the technical aspects of data warehousing and data mining, covering topics such as data modeling, data design, and data implementation. Part III discusses the practical applications of data warehousing and data mining in various industries, including healthcare, finance, marketing, and human resources. Finally, Part IV looks at the future of data warehousing and data mining, including emerging trends and technologies that are shaping the field.

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