EBK USING MIS
10th Edition
ISBN: 9780134658919
Author: KROENKE
Publisher: YUZU
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Chapter 9.9, Problem 9.6ARQ
Explanation of Solution
Three V’s of Big Data:
Big data are generally large data sets, which have a data collection having huge size.
- Big data sets have the following three properties which are referred as 3V’s of Big data, they are:
- Volume: The data sets in big data have huge volume.
- Velocity: The data sets in big data have rapid velocity.
- Variety: The data sets present in big data are not similar; they contain a huge variety of datasets.
General goal of Map Reduce:
- As big data are huge, fast and varied, they cannot be easily processed using traditional techniques.
- The general goal of Map Reduce is to break down big data sets into smaller data sets and process them separately.
- The steps involved are:
- Break down the big data sets into smaller sets.
- Through these split up data, independently running parallel processors are searched.
- The results are integrated and combined.
Use of Map Reduce for figure 9-24:
Figure 9-24(present in the textbook) compares the search trends for the terms Web2.0 and Hadoop.
Map Reduce can be implemented in the following steps:
- Map Phase:
- The data set having logs of Google searches is broken down and the independent processors are instructed to search for and count keywords that begin with W and H.
- Each of the log segments are mapped into independent processors are words are arranged alphabetically...
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public static double myRoot(int number) {
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root=number/2;
double root old;
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root old root;
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} while (Math.abs(root_old-root)>1.8E-6);
return root;
}
// Method that calculates the square root of double variables
public static double myRoot(double number) {
double root;
root number/2;
double root_old;
do {
root old root;
root (root_old+number/root_old)/2;
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Chapter 9 Solutions
EBK USING MIS
Ch. 9.3 - Prob. 1EGDQCh. 9.3 - Prob. 2EGDQCh. 9.3 - Prob. 3EGDQCh. 9.3 - Prob. 4EGDQCh. 9.6 - Prob. 1BFSQCh. 9.6 - Prob. 2BFSQCh. 9.6 - Prob. 3BFSQCh. 9.6 - Prob. 4BFSQCh. 9.9 - Prob. 1SGDQCh. 9.9 - Prob. 2SGDQ
Ch. 9.9 - Prob. 3SGDQCh. 9.9 - Prob. 4SGDQCh. 9.9 - Prob. 5SGDQCh. 9.9 - Prob. 9.1ARQCh. 9.9 - Prob. 9.2ARQCh. 9.9 - Prob. 9.3ARQCh. 9.9 - Prob. 9.4ARQCh. 9.9 - Prob. 9.5ARQCh. 9.9 - Prob. 9.6ARQCh. 9.9 - Prob. 9.8ARQCh. 9.9 - Prob. 9.9ARQCh. 9 - Prob. 9.1UYKCh. 9 - Prob. 9.2UYKCh. 9 - Prob. 9.3UYKCh. 9 - Prob. 9.4UYKCh. 9 - Prob. 9.5UYKCh. 9 - Prob. 9.6UYKCh. 9 - Prob. 9.7UYKCh. 9 - Prob. 9.8UYKCh. 9 - Prob. 9.9CE9Ch. 9 - Prob. 9.1CE9Ch. 9 - Prob. 9.11CE9Ch. 9 - Prob. 9.12CE9Ch. 9 - Prob. 9.13CE9Ch. 9 - Prob. 9.14CE9Ch. 9 - Prob. 9.15CE9Ch. 9 - Prob. 9.16CS9Ch. 9 - Prob. 9.17CS9Ch. 9 - Prob. 9.18CS9Ch. 9 - Prob. 9.19CS9Ch. 9 - Prob. 9.22MML
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