Wednesday, May 13, 2020
Investigation Mysql Database And Neo4j Database - 9884 Words
  INVESTIGATION IN MYSQL DATABASE AND NEO4J DATABASE     ZAHRAA MUSTAFA ABDULRAHMAN AL-ANI    JUNE 2015 INVESTIGATION IN MYSQL DATABASE AND NEO4J DATABASE     A THESIS SUBMITTED TO  THE GRADUATE SCHOOL OF NATURAL AND APPLIED  SCIENCES OF  Ãâ¡ANKAYA UNIVERSITY    BY  ZAHRAA MUSTAFA ABDULRAHMAN AL-ANI    IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE  DEGREE OF  MASTER OF SCIENCE  IN  THE DEPARTMENT OF  MATHEMATICS AND COMPUTER SCIENCEINFORMATION TECHNOLOGY PROGRAM    JUNE 2015 Title of the Thesis: Investigation In MySQL Database And Neo4j Database     Submitted by Zahraa Al-ani    Approval of the Graduate School of Natural and Applied Sciences, Ãâ¡ankaya University.     Prof. Dr. Taner ALTUNOKâ⬠¦show more contentâ⬠¦I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not original to this work.     Name, Last Name	:	Zahraa Al-ani  Signature	:	  Date	:	18.06.2015    ABSTRACT    INVESTIGATION IN MYSQL DATABASE AND NEO4J DATABASE     AL-ANI, Zahraa Mustafa Abdulrahman   M.Sc., Department of Mathematics and Computer Science Information Technology Program  Supervisor: Assist. Prof. Dr.  Abdà ¼l Kadir GÃâ"RÃÅ"R    June 2015, 55 Pages    Currently, there are two major of database management systems which are used to deal with data, the first one called Relational Database Management System (RDBMS) which is the traditional relational databases, it deals with structured data and have been popular since decades from 1970, while the second one called Not only Structure Query Language databases (NoSQL), they have been dealing with semi-structured and unstructured data; the NoSQL term was introduced for the first time in 1998 by Carlo Strozzi and Eric Evans reintroduced the term NoSQL in early 2009,  and now the NoSQL types are gaining their popularity with the development of the internet and the social media. NoSQL are intending to override the cons of RDBMS, such as fixed schemas, JOIN operations and handling the scalability problems. With the appearance of Big Data,    
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