BOOKS - OS AND DB - Data Mining and Data Warehousing Principles and Practical Techniq...
Data Mining and Data Warehousing Principles and Practical Techniques - Parteek Bhatia 2019 PDF Cambridge University Press BOOKS OS AND DB
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Data Mining and Data Warehousing Principles and Practical Techniques
Author: Parteek Bhatia
Year: 2019
Format: PDF
File size: 39.2 MB
Language: ENG



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Book Description: Data Mining and Data Warehousing Principles and Practical Techniques In today's fast-paced digital world, data has become an essential part of our lives. From social media platforms to e-commerce websites, we generate vast amounts of data every day. This data can be used to gain insights into human behavior patterns, preferences, and trends. However, analyzing and making sense of this data requires specialized techniques and technologies known as data mining and data warehousing. In his book, "Data Mining and Data Warehousing Principles and Practical Techniques author [Author Name] provides a comprehensive guide to these two interconnected fields, offering readers a deep understanding of their fundamental concepts and practical applications. The book begins by exploring the evolution of technology and its impact on modern knowledge development. The author emphasizes the need for a personal paradigm that can help us understand the technological process of developing modern knowledge and its basis for the survival of humanity and the unification of people in a warring state. With this perspective, the reader is introduced to the concept of data mining and data warehousing, which are critical components of modern data analysis. Chapter 1: Introduction to Data Mining and Data Warehousing The first chapter provides an overview of data mining and data warehousing, explaining how they differ from traditional data processing methods. The author discusses the importance of data mining and data warehousing in today's digital world, highlighting their role in helping organizations make informed decisions based on large datasets. The chapter concludes with a discussion on the future of data mining and data warehousing, outlining the challenges and opportunities that lie ahead.
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