Includes bibliographical references and index.
|Statement||Paul Gray, Hugh J. Watson.|
|Series||Data Warehousing Institute series from Prentice Hall PTR|
|Contributions||Watson, Hugh J.|
|LC Classifications||QA76.9.D37 G73 1998|
|The Physical Object|
|Pagination||xvi, 399 p. :|
|Number of Pages||399|
|LC Control Number||97038991|
Decision Support in the Data Warehouse demystifies data warehousing's technical jargon and provides a complete framework for building, maintaining, and using a data warehouse for decision support. This is the first book that integrates building and operating a data warehouse; developing decision support applications using the warehouse; and using the right warehouse tools. Decision Support and Data Warehouse Systems ties the more traditional view of decision support to the rapidly evolving topics of database management and data warehouse. As organizations move quickly into networked-based environments,the nature of decision support tools has become increasingly complex. Most data warehousing books provide little information about the applications or tools that deliver the business value that the data warehouse provides. The title includes a comprehensive survey of tools and technologies available today. This book explores decision support in a data warehousing . Evolution of Decision Support Systems We are told that the hieroglyphics in Egypt are primarily the work of an accountant declaring how much grain is owed the Pharaoh. - Selection from Building the Data Warehouse [Book].
Jun 10, · The excerpt also defines decision support systems (DSS) as well as describes what data warehousing and what a data warehouse is. Table of contents: An introduction to data warehousing Data warehouse architectures, concepts and phases The advantages of multidimensional databases and cube modeling Best practices for data warehouse access and reportsAuthor: Matteo Golfarelli. Data Warehousing and Decision Support Chapter 23, Part A Database Management Systems, 2nd Edition. R. Ramakrishnan and J. Gehrke 2 Introduction Increasingly, organizations are analyzing current and historical data to identify useful patterns and support business strategies. Emphasis is . From the Publisher:Decision Support and Data Warehouse Systems ties the more traditional view of decision support to the rapidly evolving topics of database management and data warehouse. As Author: Efrem Mallach. CONTENTS Foreword xxi Preface xxiii Part 1 OVERVIEW AND CONCEPTS 1 The Compelling Need for Data Warehousing 1 1 Chapter Objectives 1 1 Escalating Need for Strategic Information 2 1 The Information Crisis 3 1 Technology Trends 4 1 Opportunities and Risks 5 1 Failures of Past Decision-Support Systems 7 1 History of Decision-Support Systems 8 1 Inability to Provide Information 9.
Jan 01, · Decision Support and Data Warehouse Systems ties the more traditional view of decision support to the rapidly evolving topics of database management and data warehouse. As organizations move. Unlike most data warehousing books, this one focuses specifically on using data warehouses for decision support. It shows how to choose the best tools and get the best answers. This book walks step-by-step through building and maintaining a data warehouse specifically to support decision Price: $ The Data Warehouse Is a Separate Read-Only Database Designed Specifically for Decision Support. Users Access the Data Warehouse via a Front End Tool or Application. Expanding the Generic Data Warehouse Architecture. The modern approach to the development of decision support systems (DSS) typically makes extensive use of integrated repositories of data known as a data warehouse. These are often large, complex systems that have unique design and operational requirements that are significantly different to other kinds of databases, despite generally using the same relational database technologies as other hisn-alarum.com by: 3.