Modern Database Management
13th Edition
ISBN: 9780134773650
Author: Hoffer
Publisher: PEARSON
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Chapter 9, Problem 9.23RQ
Program Plan Intro
Common approaches to handle slow changing dimensions.
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Chapter 9 Solutions
Modern Database Management
Ch. 9 - Prob. 9.1RQCh. 9 - Prob. 9.2RQCh. 9 - Prob. 9.3RQCh. 9 - List the five major trends that necessitate data...Ch. 9 - Prob. 9.5RQCh. 9 - Prob. 9.6RQCh. 9 - Prob. 9.7RQCh. 9 - Prob. 9.8RQCh. 9 - Prob. 9.9RQCh. 9 - Prob. 9.10RQ
Ch. 9 - List four objectives of derived data.Ch. 9 - Prob. 9.12RQCh. 9 - Prob. 9.13RQCh. 9 - Explain the pros and cons of logical data marts.Ch. 9 - Prob. 9.15RQCh. 9 - What is a helper table, and why is it often used...Ch. 9 - Describe the characteristics of a surrogate key as...Ch. 9 - Prob. 9.18RQCh. 9 - What is the purpose of conformed dimensions for...Ch. 9 - Prob. 9.20RQCh. 9 - Prob. 9.21RQCh. 9 - Prob. 9.22RQCh. 9 - Prob. 9.23RQCh. 9 - Prob. 9.24RQCh. 9 - Prob. 9.25RQCh. 9 - Describe the current key trends in data...Ch. 9 - Discuss the benefits of offering data warehousing...Ch. 9 - Prob. 9.28RQCh. 9 - List six typical characteristics of reconciled...Ch. 9 - Prob. 9.30RQCh. 9 - Prob. 9.31RQCh. 9 - Prob. 9.32RQCh. 9 - Prob. 9.33RQCh. 9 - Describe some field-level and record-level data...Ch. 9 - Prob. 9.35PAECh. 9 - Prob. 9.36PAECh. 9 - Prob. 9.37PAECh. 9 - Prob. 9.38PAECh. 9 - You are to construct a star schema for Simplified...Ch. 9 - Simplified Automobile Insurance Company would like...Ch. 9 - Prob. 9.41PAECh. 9 - Prob. 9.42PAECh. 9 - Prob. 9.43PAECh. 9 - Prob. 9.45PAECh. 9 - Prob. 9.46PAECh. 9 - Prob. 9.47PAECh. 9 - Prob. 9.48PAECh. 9 - Prob. 9.49PAECh. 9 - Prob. 9.50PAECh. 9 - Prob. 9.51PAECh. 9 - Prob. 9.52PAECh. 9 - Prob. 9.53PAECh. 9 - Prob. 9.54PAE
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- Explain the concept of dimensional modeling in data warehousing. What are facts, dimensions, and hierarchies, and how are they used to organize data for analysis?arrow_forwardWhat is the concept behind dimensional modeling, and when is it typically used?arrow_forwardExplain the concept of "dimensional modeling" and its relevance in data warehousing.arrow_forward
- In what ways are dimension tables often not normalized?arrow_forwardExplain the concept of data modeling in a data warehouse. What are the differences between dimensional modeling and normalized modeling, and when should each approach be used?arrow_forwardAmong other things, dimensional modeling is a technique for organizing and presenting data in order to be used for many reasons, including analytical and reporting purposes. Provide a more thorough explanation of the core aims of dimensional modeling Give explicit examples for each of the objectives?arrow_forward
- Explain what principles of dimensional modeling this fact table violatesarrow_forwardExplain the concept of data warehousing and the role of dimensional modeling in creating data warehouses.arrow_forwardDimensional modeling is a strategy for organizing and displaying data in order to be utilized for analytical and reporting purposes, among other things. Explain the fundamental purposes of dimensional modeling in further detail. Give specific examples for each aim.arrow_forward
- Describe the concept of slowly changing dimensions (SCDs) in data warehousing. Provide examples of different SCD types and when to use them.arrow_forwardExplain the differences in processing structured data versus Big Data. What are each basic set of requirements, processes, and potential architectures.arrow_forwardExplain the concept of slowly changing dimensions (SCDs) and the various types of SCDs commonly used in data warehousing.arrow_forward
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