Warehousing and Data Mining in Data Management and Analytics Diploma Level

KSh 3,000.00

This book contains the following topics:

 • Introduction to Data Warehousing
• Data Warehouse Architecture and Design
• Data Mining Fundamentals
• Data Preprocessing and Integration
• Data Mining Algorithms and Techniques
• Data Visualization and Reporting
• Big Data and Advanced Analytics
• Applications and Ethical Considerations in Data Mining

Category: Kasneb Professional  Level Book
Publisher: Finstock Evarsity Publishers
ISBN:
Authors: CPA John Kimani, Dr. James Scott
Pages: 91
Category:

Description

This book delves into the principles and practices of warehousing and data mining, vital components of modern data management and analytics. It explores the design and optimization of data warehouses, focusing on data integration, storage, and retrieval. Readers will learn advanced techniques in data mining, including pattern recognition, clustering, and predictive analytics, to derive actionable insights. With real-world applications and case studies, this resource empowers professionals to harness data for informed decision-making.

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