Modern Database Management
13th Edition
ISBN: 9780134773650
Author: Hoffer
Publisher: PEARSON
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Chapter 9, Problem 9.42PAE
Program Plan Intro
Summarization of the arguments made by Kimball, Inmon and Armstrong on merits of independent and dependent data marts and normalized versus denormalized data marts.
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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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Similar questions
- What is the distinction between the Clustering and Deviation data mining methods?arrow_forwardHow do surrogate keys and natural keys differ in data modeling, and when might one be preferred over the other?arrow_forwardexplain the concept of the balanced and unbalanced data set. Explain the effects of this situation on classification and the Synthetic Minority Oversampling Technique (SMOTE) methodarrow_forward
- Do you think it would be feasible to differentiate between the two data mining techniques?arrow_forwardCourse: Data Mining Language: R (although it might not be needed for this question) Suppose you are given the data to analyze that includes a single attribute age. Following are the age values in unsorted order, 22 46 13 70 35 20 19 45 25 40 15 22 33 35 33 30 35 35 21 36 52 25 20 25 16 16 25 17 Use smoothing by bin means to smooth these data, using a bin depth of 4. Illustrate your steps. Use smoothing by bin boundaries to smooth these data, using a bin depth of 4. Illustrate your steps. How might you determine the outliers in the data?arrow_forwardHow does denormalization differ from normalization, and what are the scenarios where denormalization might be useful?arrow_forward
- How does denormalization differ from normalization, and in what scenarios might denormalization be a valid design choice?arrow_forwardUse a conventional histogram as a guide for analyzing data. Is it OK to have a normalized histogram but not a non-normalized one?arrow_forwardHow does denormalization differ from normalization, and in what situations is denormalization justified?arrow_forward
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