With Examples in SQL Server
Vincent Rainardi

#Data
#SQL
Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Coverage then explains how to populate the data warehouse and explores how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. It also details testing and how to administer data warehouse operation.
Table of Contents
CHAPTER 1 Introduction to Data Warehousing
CHAPTER 2 Data Warehouse Architecture
CHAPTER 3 Data Warehouse Development Methodology
CHAPTER 4 Functional and Nonfunctional Requirements
CHAPTER 5 Data Modeling
CHAPTER 6 Physical Database Design
CHAPTER 7 Data Extraction
CHAPTER 8 Populating the Data Warehouse
CHAPTER 9 Assuring Data Quality
CHAPTER 10 Metadata
CHAPTER 11 Building Reports
CHAPTER 12 Multidimensional Database
CHAPTER 13 Using Data Warehouse for Business Intelligence
CHAPTER 14 Using Data Warehouse for Customer Relationship Management
CHAPTER 15 Other Data Warehouse Usage
CHAPTER 16 Testing Your Data Warehouse
CHAPTER 17 Data Warehouse Administration
APPENDIX Normalization Rules









