Name: star schema,the complete reference (en Inglés)
Price: 35.94 EUR
Availability: InStock
Author: Adamson, Christopher
ISBN: 9780071744324

portada star schema,the complete reference (en Inglés)

Formato

Libro Físico

Autor

Christopher Adamson

Editorial

McGraw-Hill Companies

Año

2010

Idioma

Inglés

N° páginas

486

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 18.8 x 2.6 cm

Peso

0.84 kg.

ISBN

0071744320

ISBN13

9780071744324

Categorías

Diseño y teoría de bases de datos
Data warehousing
Data mining: minería de datos
Arquitectura de la información

star schema,the complete reference (en Inglés)

Christopher Adamson (Autor) · McGraw-Hill Companies · Tapa Blanda

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35,94 €

37,84 €

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "star schema,the complete reference (en Inglés)"

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.The definitive guide to dimensional design for your data warehouseLearn the best practices of dimensional design. Star Schema: The Complete Reference offers in-depth coverage of design principles and their underlying rationales. Organized around design concepts and illustrated with detailed examples, this is a step-by-step guidebook for beginners and a comprehensive resource for experts.This all-inclusive volume begins with dimensional design fundamentals and shows how they fit into diverse data warehouse architectures, including those of W.H. Inmon and Ralph Kimball. The book progresses through a series of advanced techniques that help you address real-world complexity, maximize performance, and adapt to the requirements of BI and ETL software products. You are furnished with design tasks and deliverables that can be incorporated into any project, regardless of architecture or methodology.Master the fundamentals of star schema design and slow change processingIdentify situations that call for multiple stars or cubesEnsure compatibility across subject areas as your data warehouse growsAccommodate repeating attributes, recursive hierarchies, and poor data qualitySupport conflicting requirements for historic dataHandle variation within a business process and correlation of disparate activitiesBoost performance using derived schemas and aggregatesLearn when it's appropriate to adjust designs for BI and ETL tools