Data Warehouse Design: Modern Principles and Methodologies by Matteo Golfarelli (Author), Stefano Rizzi (Author)

Publisher: COMPUTER SCIENCE

Availability: In Stock
SKU: 53526
Number of Pages: 480

Rs.990.00

Rs.1,245.00

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Description
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Description

"Data Warehouse Design: Modern Principles and Methodologies" authored by Matteo Golfarelli and Stefano Rizzi offers a comprehensive exploration of contemporary approaches to designing data warehouses, providing invaluable insights for both seasoned professionals and newcomers to the field. Through a blend of theoretical discourse and practical examples, the authors delve into the core principles underpinning modern data warehouse design, offering readers a roadmap to navigate the complexities of organizing and managing vast amounts of data effectively.

The book begins by laying a solid foundation in the fundamental concepts of data warehousing, elucidating key terminology and outlining the evolution of methodologies over time. From there, it progresses into a detailed examination of cutting-edge techniques and best practices, covering topics such as dimensional modeling, ETL (Extract, Transform, Load) processes, and data integration strategies. With a focus on adaptability and scalability, Golfarelli and Rizzi empower readers to design data warehouses that can evolve alongside the ever-changing landscape of technology and business requirements. By distilling complex theories into actionable insights, this book equips practitioners with the knowledge and tools necessary to architect robust data warehouse solutions that drive informed decision-making and foster organizational growth.

Key points:

Thorough exploration of fundamental data warehousing concepts and terminology.
In-depth coverage of modern methodologies including dimensional modeling and ETL processes.
Emphasis on scalability and adaptability to meet evolving business needs.
Practical examples and case studies for real-world application.
Insights from experienced authors in the field of data warehousing.

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Writer ✤ Matteo Golfarelli (Author), Stefano Rizzi (Author)

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