Pearson eText for Modern Database Management -- Instant Access (Pearson+)
Pearson eText for Modern Database Management -- Instant Access (Pearson+)
13th Edition
ISBN: 9780137305940
Author: Jeffrey Hoffer, Ramesh Venkataraman
Publisher: PEARSON+
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Chapter 10, Problem 10.1RQ
Program Plan Intro

a. Definition of the term Hadoop.

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Explanation of Solution

Hadoop is a complete package of framework that makes it possible to deal with data using cheap commodity hardware machines. We know that it is costly to store and process the data in a single machine because machine with that kind of computation power and memory is very expensive. What Hadoop does is, it combines the power of many cheap commodity machines as one by storing and processing the data in a distributed fashion over cluster of commodity machines.

Hadoop uses popular MapReduce technique (explained in next section) to achieve this.

Program Plan Intro

(b)

Definition of the term MapReduce.

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Explanation of Solution

Map Reduce is a processing technique used in Hadoop based on Java. It is a combination of two individual processing techniques.

  1. Map: Map technique takes the input data and transform it into another set of data that is tuple(key/value) pair.
  2. Reduce as name suggests reduces or combines the output from map into a smaller set of data(tuples).
Program Plan Intro

(c)

Definition of the term HDFS.

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Explanation of Solution

HDFS (Hadoop File System) is a distributed file system designed to run on commodity hardware. It is highly fault tolerant.

HDFS follows the master-slave architecture. Where Namenode acts as a master and Datanode acts as a slave.

Namenda: - It manages the namespace of file system, client’s access to file and controls the operations like renaming, opening and closing a file.

Datanode: - It acts as the instruction received from Namenode which includes file I/O(read/write), block creation, deletion and replication.

Pig as name suggests who eats anything, it is an abstraction layer on the top of MapReduce technique to analyze Big data using the representation of data flow.

Program Plan Intro

(d)

Definition of the term NoSQL.

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Explanation of Solution

As name suggest NoSQL means non-relational. In a nutshell NoSQL is a database for the kind of data that is not available in the tabular format or those doesn’t have any defined schema. So, NoSQL database along with providing the mechanism to store and retrieve the structured(relational) data, it also provides the same functionalities for semi structured or unstructured data.

Program Plan Intro

(e)

Define the term Pig.

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Explanation of Solution

Pig as name suggests who eats anything, it is an abstraction layer on the top of MapReduce technique to analyze data using the representation of data flow.

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Need help answering these questions!1. Design a While loop that lets the user enter a number. The number should be multiplied by 10, and the result stored in a variable named product. The loop should iterate as long as the product contains a value less than 100.   2. Design a For loop that displays the following set of numbers: 0, 10, 20, 30, 40, 50 . . . 1000   3. Convert the While loop in the following code to a Do-While loop:     Declare Integer x = 1     While x > 0        Display "Enter a number."        Input x     End While
Need help with these:Design a While loop that lets the user enter a number. The number should be multiplied by 10, and the result stored in a variable named product. The loop should iterate as long as the product contains a value less than 100.   2. Design a For loop that displays the following set of numbers: 0, 10, 20, 30, 40, 50 . . . 1000   3. Convert the While loop in the following code to a Do-While loop:     Declare Integer x = 1     While x > 0        Display "Enter a number."        Input x     End While
Convert the While loop in the following code to a Do-While loop:    Declare Integer x = 1    While x > 0       Display "Enter a number."       Input x    End While
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