Data Warehousing and Analytics: Fueling the Data Engine

This textbook provides a comprehensive coverage of data warehousing and analytics,from transformation to analysis,with case studies and further readings for beginners and professionals.

Format: Paperback / softback
Length: 435 pages
Publication date: 05 February 2022
Publisher: Springer Nature Switzerland AG

This comprehensive textbook delves into the intricate realm of data warehousing and analytics, encompassing a wide range of central activities. It explores the entire journey of data, from its initial extraction from operational and transactional databases to its transformation, preparation, aggregation, integration, and analysis within data warehouses. Moreover, it sheds light on the crucial role that data warehousing plays throughout the data processing lifecycle. The book is meticulously organized into six parts, each covering a distinct aspect of data warehousing and analytics. Part I delves into the fundamentals of data warehouse design, including the Star Schema, Snowflake and Bridge Tables, Advanced Dimensions, and Multi-Fact and Multi-Input. Part II delves into more advanced concepts, such as data warehousing and evolution. Part VI explores OLAP, BI, and analytics, providing a comprehensive understanding of these essential tools for data visualization and interpretation.

One of the notable features of this textbook is its approach from the case study angle. Each chapter presents one or more case studies, carefully designed to elucidate the concepts and offer different levels of difficulty. This incremental learning approach ensures that readers can progress at their own pace, making the book suitable for both introductory courses on data warehousing and data analytics and for self-studies by professionals. Furthermore, each chapter includes a section on further readings, providing valuable pointers and references to research papers related to the chapter's content. This comprehensive resource is complemented by a web page that offers access to all the used datasets, codes, slides, and solutions to exercises.

In summary, this textbook is an invaluable resource for anyone seeking to gain a deep understanding of data warehousing and analytics. Its comprehensive coverage, case study-based approach, and extensive supplementary materials make it an ideal tool for students, professionals, and researchers alike. Whether you are embarking on a career in data management or seeking to enhance your skills in this field, this textbook will provide you with the knowledge and tools you need to succeed.

Weight: 992g
Dimension: 158 x 236 x 40 (mm)
ISBN-13: 9783030819781
Edition number: 1st ed. 2021