Data Warehousing And Mining
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Data Warehousing and Data Mining
Author: Mr. Vineeth Dasary, Mr. Andiappan Ananth, Kamlesh W. Kelwade, P. Kalidas
language: en
Publisher: BR Publications
Release Date: 2025-08-28
Data Warehousing and Data Mining are key components of data analytics that enable organizations to store, manage, and extract valuable insights from large volumes of data. A Data Warehouse is a centralized repository that integrates data from multiple sources, providing a unified and consistent view for analysis and decision-making. It supports efficient querying, reporting, and business intelligence operations.
Data Warehousing and Mining:
Data Warehousing and Data Mining is presented in a question-and-answer format following the examination pattern and covers all key topics in the syllabus. The book is designed to make learning fast and effective and is precise, up-to-date and will help students excel in their examinations. The book is part of the Express Learning is a series of books designed as quick reference guides to important undergraduate courses. The organized and accessible format of these books allows students to learn important concepts in an easy-to-understand, question-and-answer format. These portable learning tools have been designed as one-stop references for students to understand and master the subjects by themselves.
Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications
In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.