Modern Database Management
13th Edition
ISBN: 9780134773650
Author: Hoffer
Publisher: PEARSON
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Chapter 11, Problem 11.27PAE
Program Plan Intro
The purposes for which the given company might want to use big data technologies.
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Consider the three major Vs as Volume, Velocity and Variety along with other Big Data contexts. Match the terms with the short scenarios or frameworks, related to Big Data.
The discrepancy between EDA and hypotheses and why EDA is preferred by analysts during data mining.
What distinguishes data redundancy from inconsistent data?Unstructured data and structured data are compared in this comparison. Any examples that may help to substantiate your comparison should be provided.
Chapter 11 Solutions
Modern Database Management
Ch. 11 - Prob. 11.1RQCh. 11 - Prob. 11.2RQCh. 11 - Prob. 11.3RQCh. 11 - Prob. 11.4RQCh. 11 - Prob. 11.5RQCh. 11 - Prob. 11.6RQCh. 11 - Prob. 11.7RQCh. 11 - Prob. 11.8RQCh. 11 - Prob. 11.9RQCh. 11 - Prob. 11.10RQ
Ch. 11 - Prob. 11.11RQCh. 11 - Prob. 11.12RQCh. 11 - Prob. 11.13RQCh. 11 - Prob. 11.14RQCh. 11 - Prob. 11.15RQCh. 11 - Prob. 11.16RQCh. 11 - Describe the core idea underlying in-database...Ch. 11 - Prob. 11.18RQCh. 11 - Prob. 11.19RQCh. 11 - Prob. 11.20PAECh. 11 - Prob. 11.21PAECh. 11 - Prob. 11.22PAECh. 11 - Prob. 11.23PAECh. 11 - Prob. 11.24PAECh. 11 - Prob. 11.25PAECh. 11 - Prob. 11.26PAECh. 11 - Prob. 11.27PAECh. 11 - Problems and Exercises 11-22 through 11-28 are...Ch. 11 - Prob. 11.29PAECh. 11 - Prob. 11.30PAE
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- Consider the users of your data warehouse. Are you able to categorise people into casual, frequent, and power users? If this approach of basic categorization is insufficient, examine other ways to classify your users.arrow_forwardWhat is the distinction between data inconsistency and redundancy? Unstructured data is compared to structured data in this comparison. Include any examples that may help to substantiate your comparison.arrow_forwardTiny College wants to keep track of the history of all its administrative appointments, including dates of appointment and dates of termination. (Hint: Time- variant data is at work.) The Tiny College chancellor may want to know how many deans worked in the College of Business between January 1, 1960, and January 1, 2018, or who the dean of the College of Education was in 1990. Given that information, create the complete ERD that contains all primary keys, foreign keys, and main attributes.To upload and submit your assignment, click the Choose File button below to find and select your saved document. Make sure that the file is saved with your last name in the file name. (Example: ch5_problem1_Jones.doc)arrow_forward
- Use 4 examples drawn from the case study above to illustrate each of the 4 Vs of Big Data.arrow_forwardFollowing on your job to build an efficient data model for a company that provides conference management services to various organizations; you’ve now obtained business rules, some of which are listed below. One Organization has Many Conferences, and possibly none. One Conference belongs to One Organization, and not none. One Conference has Many Delegates, and possibly none, and a maximum of 400. One Delegate attends Many Conferences, and not none. You have also been given a small sample of their records, in case this may prove useful. It is below. ORG_NUM ORG_NAME ORG_TEL CONF_NUM CONF_DATE CONF_NAME DELG_ID DELG_NAME ATT_PACKAGE 152 Johns Inc. 021598715 101 12-03-17 PRASA17 12 F. Freds 2 15 J. Jacks 5 19 P. Petes 5 152 Johns Inc. 021598715 102 14-04-19 PRASA19 178 Petes Inc. 031568798 109 16-06-18 COPA18 11 T. Tims 5 15 J. Jacks 7 22 K. Korths 2…arrow_forwardWhat is a major issue with using the five Vs to define big data?arrow_forward
- Please answer below questions based on this dimensional model and additional information provided 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:arrow_forwardQuestion 15 Which of the following is NOT true about a data model? Group of answer choices A model is expressed in some type of language. A model is a means of communication. Creating a data model is more expensive than creating the real data system. A model can be changed quickly.arrow_forwardWhat is the most significant challenge that arises when characterizing big data using the five Vs?arrow_forward
- Discuss the challenges and considerations when designing a data model for big data applications. How does data modeling differ in the context of big data?arrow_forwardExplore the challenges and best practices associated with data modeling for big data and unstructured data.arrow_forwardSUBJECT: DATABASE MANAGEMENT SYSTEM QUESTION NO 1: Suppose you assigned a task to design relational schema by consider the domain of Bahria University and consider the information of student, employee, campuses, departments, and programs and then normalize these relations up to third normal form QUESTION NO 2: Suppose you assigned a task to design relational schema by considering the domain of product manufacturing company by considering the information of clients, branches, employee, products, and human resource then identify sample dependencies(if any) associated with BCNF and 4th Normal form and then remove those dependencies in order to transform the schemas into BCNF and 4th Normal Form also.arrow_forward
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