Modern Database Management (12th Edition)
12th Edition
ISBN: 9780133544619
Author: Jeffrey A. Hoffer, Ramesh Venkataraman, Heikki Topi
Publisher: PEARSON
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Chapter 10, Problem 10.20RQ
Program Plan Intro
Five errors and inconsistencies that are commonly found in operational data.
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Chapter 10 Solutions
Modern Database Management (12th Edition)
Ch. 10 - Prob. 10.1RQCh. 10 - Prob. 10.2RQCh. 10 - Prob. 10.3RQCh. 10 - What are the key activities that are often the...Ch. 10 - What are the key components of a data governance...Ch. 10 - Prob. 10.6RQCh. 10 - Prob. 10.7RQCh. 10 - Prob. 10.8RQCh. 10 - Prob. 10.9RQCh. 10 - Prob. 10.10RQ
Ch. 10 - Prob. 10.11RQCh. 10 - Prob. 10.12RQCh. 10 - Prob. 10.13RQCh. 10 - Prob. 10.14RQCh. 10 - Prob. 10.15RQCh. 10 - What are the major differences between the data...Ch. 10 - Prob. 10.17RQCh. 10 - List six typical characteristics of reconciled...Ch. 10 - Prob. 10.19RQCh. 10 - Prob. 10.20RQCh. 10 - Prob. 10.21RQCh. 10 - Prob. 10.22RQCh. 10 - Describe some field-level and record-level data...Ch. 10 - Prob. 10.24PAECh. 10 - Prob. 10.25PAECh. 10 - Prob. 10.26PAECh. 10 - Prob. 10.27PAECh. 10 - Prob. 10.28PAECh. 10 - Prob. 10.29PAECh. 10 - Prob. 10.30PAECh. 10 - Prob. 10.32PAECh. 10 - Prob. 10.33PAE
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- There are six factors that may be used to assess data quality.arrow_forwardexplain what problems can occur because of a data discrepancyarrow_forwardDescribe the methods for dealing with data risks.Explanation of how each technique may represent the performance is also required. What is an idle case, and why is it used in pipelining?arrow_forward
- What is the first action to take when dealing with faulty data?arrow_forwardExplain the concept of data quality in the context of data warehousing. What are common data quality issues, and how can they be addressed?arrow_forwardHow does data normalization differ from denormalization in the context of data warehousing?arrow_forward
- What Are Some of the Most Frequent Data Modeling Errors?arrow_forwardHow would you categorize data based on Who, What, Where, and When in order to aid in the identification of the source or causes of this problem? What questions would you ask? What variables did you use to create your stratification?arrow_forwardExplain the concept of data redundancy and how it can be minimized in a well-designed data model.arrow_forward
- Five flaws and inconsistencies that are often observed in operational data should be included below.arrow_forwardHow does data normalization and denormalization affect data warehousing design, and when should each be applied?arrow_forwardPlease provide us an overview of what makes a data input field reliable. There may be times when a departure from these guidelines is necessary, but under what circumstances?arrow_forward
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