MN405 - Database, Hadoop, and MapReduce Assignment 1 Solution
VerifiedAdded on 2021/06/18
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Homework Assignment
AI Summary
This document presents a comprehensive solution for the MN405 Managing Data in Databases Assignment 1, encompassing various aspects of database management and big data technologies. The assignment is divided into two main parts. Part B, section 1 focuses on database implementation, including the creation of tables (Person, Publisher, Book, Borrow), data population, and execution of SQL queries to retrieve and manipulate data. Section 2 delves into relational database schema, detailing table structures, composite attributes, and relationship cardinalities between entities such as Book, Author, and Publisher. Section 3 introduces Hadoop and MapReduce. It provides an overview of Hadoop's capabilities and limitations, emphasizing its suitability for big data processing. It also explains the MapReduce algorithm, highlighting its functionalities, advantages, and disadvantages, along with its application in managing and processing large datasets in a distributed environment. The solution includes references to relevant resources like tutorialspoint.com and the Apache Software Foundation.
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