Concept explainers
(a)
Definition of Hadoop.
Explanation of Solution
Hadoop is an open source platform that processes a massive amount of data by distributing the data and processing tasks among multiple commodity servers. It is an implementation framework of MapReduce
(b)
Definition of MapReduce.
Explanation of Solution
MapReduce is a
Map procedure is used for sorting and filtering while reduce method deals with the summary operations.
(c)
Definition ofHDFS.
Explanation of Solution
HDFS stands for Hadoop Distributed File System. HDFS manages and stores a large data set in the distributed environment. It breaks data into small chunks called as blocks.
(d)
Definition of NoSQL.
Explanation of Solution
NoSQL stands for not only SQL. It is mainly used in large sets of distributed data. In NoSQL, data is stored in tables and before building the
(e)
Definition of Pig.
Explanation of Solution
Pig is an open source tool that is associated with the MapReduce programming to integrate scripting language and a simplified execution environment.
(f)
Definition of Data Mining.
Explanation of Solution
Data mining is a technique of processing large data sets by analyzing hidden patterns of data into useful information. It blends different techniques like traditional statistics,
(g)
Definition of Online Analytical Processing.
Explanation of Solution
Online analytical processing is a technique used to view multiple databases at a time to answer multidimensional analytical queries.
(h)
To define Business Intelligence
Explanation of Solution
Business Intelligence is a technique used by managers, executives and other corporate end users for analyzing the data and information forbetter decision making.
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Chapter 11 Solutions
Modern Database Management (12th Edition)
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