As it is with building a house, most of the work necessary to build a data warehouse is neither visible nor obvious when looking at the completed product. While it may be easy to plan for a data warehouse that incorporates all the right concepts, taking the steps needed to create a warehouse that is as functional and user-friendly as it is theoretically sound, is not especially easy. That's the challenge that Building and Maintaininga Data Warehouse answers.
Based on a foundation of industry-accepted principles, this work provides an easy-to-follow approach that is cohesive and holistic. By offering the perspective of a successful data warehouse, as well as that of a failed one, this workdetails those factors that must be accomplished and those that are best avoided.
Organized to logically progress from more general to specific information, this valuable guide:
Presents areas of a data warehouse individually and in sequence, showing how each piece becomes a working part of the whole
Examines the concepts and principles that are at the foundation of every successful data warehouse
Explains how to recognize and attend to problematic gaps in an established data warehouse
Provides the big picture perspective that planners and executives require
Those considering the planning and creation of a data warehouse, as well as those who've already built one will profit greatly from the insights garnered by the author during his years of creating and gathering information on state-of-the-art data warehouses that are accessible, convenient, and reliable.
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
data managers and information specialists, as well as those businesses and organizations dependent on maintaining significant databases
Illustrationen
123 s/w Abbildungen, 100 farbige Abbildungen, 15 s/w Tabellen, 1 s/w Photographie bzw. Rasterbild
123 b/w images, 100 color images, 15 tables and 1 halftone
Dateigröße
ISBN-13
978-1-4200-6463-6 (9781420064636)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
The Big Picture: An Introduction to Data Warehousing. Data Warehouse Philosophy. Source System Analysis. Relational Database Management System (RDBMS). Database Design. Data Acquisition and Integration. Business Intelligence Reporting. Data Quality. Metadata. Data Warehouse Customers. Future of Data Warehousing: An Epilogue. Bibliography. Index.