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Chapter 18 Data Warehouse Engine and Operating System
Published Online on: Dec 29, 2011
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Frontmatter
Contents
Preface
Chapter 1 Introduction
Chapter 2 Business Intelligence Application and Future
Chapter 3 Data Warehousing Evolution and Fundamentals
Chapter 4 Data Warehouse Types and Design Objectives
Chapter 5 Growth Contributors
Chapter 6 Data Warehouse Characteristics
Chapter 7 Star Schema
Chapter 8 Data Warehouse Process
Chapter 9 Architecture
Chapter 10 Metadata
Chapter 11 Source Data
Chapter 12 Data Conversion and Migration
Chapter 13 Data Quality
Chapter 14 ETL Process
Chapter 15 ETL Issues, Tools, and ELT
Chapter 16 Data Storage
Chapter 17 Data Modeling
Chapter 18 Data Warehouse Engine and Operating System
Chapter 19 Hardware
Chapter 20 Data Access
Chapter 21 Tool Selection and Data Mining
Chapter 22 Features of Front- End Tools
Chapter 23 Data Marts
Chapter 24 Implementation Approaches
Chapter 25 Inmon versus Kimball
Chapter 26 Multidimensionality
Chapter 27 Facts and Dimensions
Chapter 28 OLAP
Chapter 29 OLAP models
Chapter 30 Multidimensional Database
Chapter 31 OLAP: Comparisons, Tools, and Vendors
Chapter 32 Planning for the Data Warehouse Initiative
Chapter 33 Implementation Prerequisites and Approach
Chapter 34 Common Mistakes and Risks
Chapter 35 Project Resources
Chapter 36 Project Definition and Initiation
Chapter 37 Project Planning
Chapter 38 Analysis
Chapter 39 Analysis: Additional Topics
Chapter 40 Design
Chapter 41 Design: Data Modeling and OLAP Design
Chapter 42 Design: Additional Topics
Chapter 43 Documentation
Chapter 44 Development
Chapter 45 Testing and Training
Chapter 46 Deployment and Operation
Chapter 47 Trends
Index