Book Image

The Data Warehouse Toolkit - Third Edition

By : Ralph Kimball, Margy Ross
5 (1)
Book Image

The Data Warehouse Toolkit - Third Edition

5 (1)
By: Ralph Kimball, Margy Ross

Overview of this book

The volume of data continues to grow as warehouses are populated with increasingly atomic data and updated with greater frequency. Dimensional modeling has become the most widely accepted approach for presenting information in data warehouse and business intelligence (DW/BI) systems. The goal of this book is to provide a one-stop shop for dimensional modeling techniques. The book is authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligence. The book begins with a primer on data warehousing, business intelligence, and dimensional modeling, and you’ll explore more than 75-dimensional modeling techniques and patterns. Then you’ll understand dimension tables in-depth to get a good grip on retailing and moved towards the topics of inventory. Moving ahead, you’ll learn how to use this book for procurement, order management, accounting, customer relationship management, and many more business sectors. By the end of this book, you’ll be able to gather all the essential knowledge, practices, and patterns for designing dimensional models.
Table of Contents (31 chapters)
Free Chapter
Title Page
About the Authors
End User License Agreement

Survey Questionnaire Data

HR departments often collect survey data from employees, especially when gathering peer and/or management review data. The department analyzes questionnaire responses to determine the average rating for a reviewed employee and within a department.

To handle questionnaire data in a dimensional model, a fact table with one row for each question on a respondent’s survey is typically created, as illustrated in Figure 9-10. Two role-playing employee dimensions in the schema correspond to the responding employee and reviewed employee. The survey dimension has descriptors about the survey instrument. The question dimension provides the question and its categorization; presumably, the same question is asked on multiple surveys. The survey and question dimensions can be useful when searching for specific topics in a broad database of questionnaires. The response dimension contains the responses and perhaps categories of responses, such as favorable or hostile.