Los costos de envío se calcularán en base a esta dirección en todo el sitio.
Selecciona tu país
América
Argentina
Brasil
Canadá
Chile
Colombia
Costa Rica
Ecuador
El Salvador
Estados Unidos
México
Perú
República Dominicana
Uruguay
Europa
Alemania
Austria
Bélgica
Croacia
Dinamarca
Eslovaquia
Eslovenia
España
Finlandia
Francia
Grecia
Hungría
Irlanda
Italia
Letonia
Malta
Noruega
Países Bajos
Polonia
Portugal
Reino Unido
República Checa
Serbia
Suecia
Suiza
Resto del mundo


Designing and Developing Decisional Data Warehouses: A Life Cycle Approach (en Inglés)
Deepika Prakash (Autor) · Springer Nature Singapore · Tapa Dura
Quedan 50 unidades
$ 100.17This textbook introduces a groundbreaking methodology for data warehouse development, bridging the gap between technical design and real-world business needs. It offers a comprehensive, life cycle-oriented perspective that is both conceptually rigorous and practically relevant. Unlike traditional approaches that treat data warehouses as passive repositories, this book positions them as active enablers of business decision-making. It emphasizes aligning data warehouse design with organizational goals, ensuring that the system supports not just the identification of problems but also the selection of optimal decisions. The book covers the entire data warehouse development process—from requirements engineering to conceptual and logical design. It moves beyond the conventional focus on logical modeling to include upstream activities that are critical for building effective and usable systems. A unique, platform-agnostic conceptual model is introduced to represent analytical capabilities. This model facilitates seamless transitions between requirements, conceptual design, and logical implementation, making it adaptable to various technological environments. Recognizing the growing importance of unstructured data in decision-making, the book integrates support for both structured and unstructured data. It explores the use of both relational and NoSQL technologies to handle diverse data types effectively. The book advocates for an agile, iterative approach to data warehouse development. It introduces agility from the very beginning, starting with requirements engineering—and promotes continuous stakeholder involvement and incremental delivery of functional components. This book fills that gap by integrating business context, unstructured data analysis, and agile development principles into the core of data warehouse design. It is an essential resource for students, educators, and professionals seeking to build data warehouses that are not only technically sound but also strategically impactful.
¿Tienes una pregunta sobre el libro? Inicia sesión para poder agregar tu propia pregunta.


