MODERN DATABASE MGMT.(PEARSON CHANNEL)
13th Edition
ISBN: 9780136709299
Author: Hoffer
Publisher: PEARSON
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Chapter 1, Problem 1.49PAE
In this chapter, we described four important data models and their properties: enterprise, conceptual, logical, and physical. In the following table, summarize the important properties of these data models by entering a Y (for yes) or an N (for no) in each cell of the table.
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Chapter 1 Solutions
MODERN DATABASE MGMT.(PEARSON CHANNEL)
Ch. 1 - Prob. 1.1RQCh. 1 - Prob. 1.2RQCh. 1 - Prob. 1.3RQCh. 1 - Prob. 1.4RQCh. 1 - Prob. 1.5RQCh. 1 - Prob. 1.6RQCh. 1 - Prob. 1.7RQCh. 1 - How are relationships between tables expressed in...Ch. 1 - What does the term data independence mean, and why...Ch. 1 - Prob. 1.10RQ
Ch. 1 - Prob. 1.11RQCh. 1 - Prob. 1.12RQCh. 1 - Prob. 1.13RQCh. 1 - Prob. 1.14RQCh. 1 - Prob. 1.15RQCh. 1 - Prob. 1.16RQCh. 1 - Prob. 1.17RQCh. 1 - Prob. 1.18RQCh. 1 - Prob. 1.19RQCh. 1 - Prob. 1.20RQCh. 1 - Prob. 1.21RQCh. 1 - Prob. 1.22RQCh. 1 - Prob. 1.23RQCh. 1 - Prob. 1.24RQCh. 1 - Prob. 1.25RQCh. 1 - Prob. 1.26RQCh. 1 - Prob. 1.27PAECh. 1 - Prob. 1.28PAECh. 1 - Prob. 1.29PAECh. 1 - Prob. 1.30PAECh. 1 - Prob. 1.31PAECh. 1 - Prob. 1.32PAECh. 1 - Great Lakes Insurance would like to implement a...Ch. 1 - Figure 1-22 shows an enterprise data model for a...Ch. 1 - Prob. 1.35PAECh. 1 - Prob. 1.36PAECh. 1 - Prob. 1.37PAECh. 1 - Prob. 1.38PAECh. 1 - Prob. 1.39PAECh. 1 - Prob. 1.40PAECh. 1 - Prob. 1.41PAECh. 1 - Prob. 1.42PAECh. 1 - Prob. 1.43PAECh. 1 - Prob. 1.44PAECh. 1 - Consider the project data model shown in Figure...Ch. 1 - Answer the following questions concerning Figures...Ch. 1 - Prob. 1.47PAECh. 1 - Helen Jarvis wants to determine the most important...Ch. 1 - In this chapter, we described four important data...
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- In the following paragraphs, we will demonstrate the significance of data modelling.arrow_forwardWhat is the minimal data rule in conceptual design? Why is it important?arrow_forwardUsing a graphics program, develop an entity-relationship diagram for a database application for an Internet bookstore where students buy textbooks from a salesperson and receive invoices for their purchases. Use Figure 5.5 as a guide.arrow_forward
- ER modeling is one approach in creating a data model. There are several approaches in creating a data model (bottom up, top down, inside out, and mix). 1. explain each of these approaches!2. Then explain when we use top down, bottom up, inside out and mix? what is the function of each of the approaches?arrow_forwardA data modeling-based approach has certain downsides.arrow_forwardHow are "weak entities" differentiated from "strong entities" in data modeling?arrow_forward
- Consider the scenario described by the statement "A customer can make many payments, but each payment is made by only one customer." Use this scenario as the basis for an Object-Oriented Data Model (OODM).arrow_forwardIn the next paragraphs, you will learn why data modeling is crucial.arrow_forwardER-diagrams are high-level design of the Database. The given ER-diagram describes the Dentist office and service details. are there strong and weak entities, recursive relationships and different attribute types are involved ? would you identify what eachentity are relationship are and to describe all constraintsrelated to themarrow_forward
- The definition of a variable must contain not just the variable's name, but also its "type" and "additional attributes." Put another way, all variables have characteristics outside their data type. Explain in further detail the idea that will ultimately let us describe any variable with greater precision.arrow_forwardAs you will see in the next paragraphs, data modeling is quite important.arrow_forwardDo you think Data Model is useful or harmful?arrow_forward
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