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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Summarize 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
- Elaborate on the concept of "asynchronous data binding" and its applications in scenarios requiring real-time data updates.arrow_forwardLet's pretend for a second that we're part of the culture of a small or medium-sized business. Is there anything in the way of cultural or societal aspects that prevents the broad spread adoption of a NoSQL or big data application? What potential measures may be taken in the future to deal with them if this is the case?arrow_forwardList and illustrate large data drawbacks.arrow_forward
- What is the main issue with using the five Vs to define big data?arrow_forwardIn the context of data warehousing, discuss the differences between a star schema and a snowflake schema. When should one be preferred over the other?arrow_forwardGive 2-3 paragraph well-reasoned answers to Problem Referenced from book Introduction to Data Mining by Pan Ning Tan, Michael Steinbach, Vipin Kumar, Anuj Karpatne chapter 2 exercise 27arrow_forward
- Explain the benefits and drawbacks of various data warehousing architectures, such as the Kimball and Inmon methodologies. When is each methodology most suitable?arrow_forwardDiscuss denormalization and its use cases in data modeling. Provide scenarios where denormalization is beneficial.arrow_forwardQuestion 5 Provide and explain (justify) two distinct differences between the term measurement and the term context as used within the discipline of data warehousing. Full explain this question and text typing work only thanksarrow_forward
- In this paper, you will discuss the MongoDB data model and its advantages over the relational data model.arrow_forwardPlease answer below questions based on this dimensional model and additional information provided There is a central fact table and 4 dimensions – Time, A, B and C. The ratio m: n between 2 attributes of the hierarchy represents that for every ‘m’ occurrence of a parent element there will be a maximum of ‘n’ children. As per the current state, this fact table contains 3 Years 4 A1s 5 B1s 5 C1s Q1: What is the maximum possible fact data volume in terms of record/row count? Answer: Q3: The m:n ratio from attribute B3 to attribute B4 is changed from 1:3 to 1:1 due to some organizational changes. By how many times the maximum possible fact data volume (by record count) decreases? Answer: Q4: If there is an aggregate fact table at quarter dimension level with other attributes B4, C5 and A3. What is the maximum possible record count of this aggregate table as per the current state mentioned above? Answer: Q5: If the number of elements from the attribute C1 reduce from…arrow_forwardWhen it comes to data mining, this article illustrates why analysts may find it more beneficial to use EDA rather than hypothesis testing.arrow_forward
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