
EBK DATABASE CONCEPTS
7th Edition
ISBN: 9780133777840
Author: AUER
Publisher: VST
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Chapter 8, Problem 8.46RQ
Explanation of Solution
Map Reduce:
Map Reduce is a process where large storage data or big data gets analyzed by themselves.
- One computer could not handle and process the big data or multiple datasets are involved by itself.
- Map reduce is a process where large analytical data sets are being split into smaller task.
- The process involved is splitting the larger tasks into smaller tasks and assigning them to different computers and after completion the results are gathered from different computers and finally combining them to obtain the final resultant that is obtained for the original task.
- In Map Reduce, “Map” indicates the work done by the individual computer and “Reduce” indicates the final resultant obtained after combining...
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Chapter 8 Solutions
EBK DATABASE CONCEPTS
Ch. 8 - Prob. 8.1RQCh. 8 - Prob. 8.2RQCh. 8 - Prob. 8.3RQCh. 8 - Prob. 8.4RQCh. 8 - Prob. 8.5RQCh. 8 - Prob. 8.6RQCh. 8 - What problems in operational data create the need...Ch. 8 - Prob. 8.8RQCh. 8 - Prob. 8.9RQCh. 8 - Prob. 8.10RQ
Ch. 8 - Explain the difference between a data warehouse...Ch. 8 - Prob. 8.12RQCh. 8 - Prob. 8.13RQCh. 8 - Prob. 8.14RQCh. 8 - Prob. 8.15RQCh. 8 - Prob. 8.16RQCh. 8 - Prob. 8.17RQCh. 8 - Prob. 8.18RQCh. 8 - Prob. 8.19RQCh. 8 - Prob. 8.20RQCh. 8 - Prob. 8.21RQCh. 8 - Prob. 8.22RQCh. 8 - Prob. 8.23RQCh. 8 - Prob. 8.24RQCh. 8 - Prob. 8.25RQCh. 8 - Prob. 8.26RQCh. 8 - Prob. 8.27RQCh. 8 - Explain one way to partition a database that has...Ch. 8 - Prob. 8.29RQCh. 8 - Explain what must be done when fully replicating a...Ch. 8 - Prob. 8.31RQCh. 8 - Prob. 8.32RQCh. 8 - Prob. 8.33RQCh. 8 - Prob. 8.34RQCh. 8 - Explain the meaning of the term object...Ch. 8 - Prob. 8.36RQCh. 8 - Prob. 8.37RQCh. 8 - Prob. 8.38RQCh. 8 - Prob. 8.39RQCh. 8 - Prob. 8.40RQCh. 8 - Prob. 8.41RQCh. 8 - Prob. 8.42RQCh. 8 - Prob. 8.43RQCh. 8 - Prob. 8.44RQCh. 8 - Prob. 8.45RQCh. 8 - Prob. 8.46RQCh. 8 - Prob. 8.47RQ
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- using r language Obtain a bootstrap t confidence interval estimate for the correlation statistic in Example 8.2 (law data in bootstrap).arrow_forwardusing r language Compute a jackknife estimate of the bias and the standard error of the correlation statistic in Example 8.2.arrow_forwardusing r languagearrow_forward
- using r languagearrow_forwardThe assignment here is to write an app using a database named CIT321 with a collection named students; we will provide a CSV file of the data. You need to use Vue.js to display 2 pages. You should know that this assignment is similar, all too similar in fact, to the cars4sale2 example in the lecture notes for Vue.js 2. You should study that program first. If you figure out cars4sale2, then program 6 will be extremely straightforward. It is not my intent do drop a ton of new material here in the last few days of class. The database contains 51 documents. The first rows of the CSV file look like this: sid last_name 1 Astaire first_name Humphrey CIT major hrs_attempted gpa_points 10 34 2 Bacall Katharine EET 40 128 3 Bergman Bette EET 42 97 4 Bogart Cary CIT 11 33 5 Brando James WEB 59 183 6 Cagney Marlon CIT 13 40 GPA is calculated as gpa_points divided by hrs_attempted. GPA points would have been arrived at by adding 4 points for each credit hour of A, 3 points for each credit hour of…arrow_forwardI need help to solve the following case, thank youarrow_forward
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