Название: Data Warehouse and Data Mining: Concepts, techniques and real life applications
Автор: Jugnеsh Кumаr
Издательство:
Год: 2024
Страниц: 214
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Data warehouse and data mining are essential technologies in the field of data analysis and business intelligence. Data warehouse provides a centralized repository of structured data and facilitates data storage and retrieval. Data mining, on the other hand, utilizes various algorithms and techniques to extract valuable patterns, trends, and insights from large datasets.

The book explains the ins and outs of data warehousing by discussing its principles, benefits, and components, differentiating it from traditional databases. The readers will explore warehouse architecture, learn to navigate OLTP and OLAP systems, grasping the crux of the difference between ROLAP and MOLAP. The book is designed to help you discover data mining secrets with techniques like classification and clustering. You will be able to advance your skills by handling multimedia, time series, and text, staying ahead in the evolving data mining landscape.

Data Warehousing introduces the foundational concepts behind the creation and management of centralized repositories, offering a blueprint for designing efficient data storage systems. It covers the intricacies of schema design, extraction-transformation-loading (ETL) processes, and optimization strategies, providing a solid groundwork for constructing data warehouses tailored to diverse business needs.

Data Mining on the other hand, navigates the terrain of extracting meaningful patterns, trends, and associations from extensive datasets. It illuminates the various algorithms, statistical techniques, and machine learning methodologies used to unearth hidden insights, empowering practitioners to derive actionable intelligence and make informed decisions.

By the end of this book, you will be equipped with the skills and knowledge to confidently translate business questions into actionable strategies, extracting valuable insights for informed decisions.