Comparison of relational database management systems

NoSQL database and relational database. (Under the direction of DR. JIANPING FAN) NoSQL database, also called as not only SQL database, is using a different data storage and retrieval mechanism from the relational tables adopted by traditional relational database management system. In the sense of CAP (Consistency, availability and tolerance) theorem, NoSQL database sacrifices some consistency features to get more availabilities and partition tolerances. In most cases, NoSQL database systems are

INVESTIGATION OF MYSQL DATABASE AND NEO4J DATABASE ZAHRAA MUSTAFA ABDULRAHMAN AL-ANI JUNE 2015 INVESTIGATION OF MYSQL DATABASE AND NEO4J DATABASE A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES OF ÇANKAYA 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

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 ÇANKAYA 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

Unit 17 – Database Design Concepts a) Write and describe a variety uses organisations make of use of databases and the issues they face - P1.1 Integrity of data Data integrity refers to preserving and promising the accuracy and consistency of data over its entire life-cycle. It is also the critical aspect to the design, implementation and usage of any system. This system can store, process or retrieve data. Data integrity can be negotiated in a number of ways that include: • Human errors when data

ANALYSIS NOSQL DATABASE MANAGEMENT DEPENDING ON THE FEATURES AND DIFFERENTIATION OF RDBMS ZAHRAA MUSTAFA ABDULRAHMAN AL-ANI JUNE 2015 ANALYSIS NOSQL DATABASE MANAGEMENT DEPENDING ON THE FEATURES AND DIFFERENTIATION OF RDBMS A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES OF ÇANKAYA UNIVERSITY BY ZAHRAA MUSTAFA ABDULRAHMAN AL-ANI IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN THE DEPARTMENT

A COMPARITIVE STUDY BETWEEN GRAPH DATABASE AND RELATIONAL DATABASE Abstract- This research documents a comprehensive evaluation of the emerging graph databases along with a benchmark study to compare it to the existing relational model. With the ease of the graphical representation brought in with Neo4j, we saw the opportunity to attempt getting details about the various attributes in the dataset and analyze this data to present a statistical view along with its popular counterpart, MySQL. The

INVESTIGATION OF NOSQL DATABASE MANAGEMENT ZAHRAA MUSTAFA ABDULRAHMAN AL-ANI JUNE 2015 INVESTIGATION OF NOSQL DATABASE MANAGEMENT A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES OF ÇANKAYA 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 ABSTRACT

ANALYSIS NOSQL DATABASE MANAGEMENT DEPENDING ON THE FEATURES AND DIFFERENTIATION OF RDBMS ZAHRAA MUSTAFA ABDULRAHMAN AL-ANI JUNE 2015 ANALYSIS NOSQL DATABASE MANAGEMENT DEPENDING ON THE FEATURES AND DIFFERENTIATION OF RDBMS A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES OF ÇANKAYA UNIVERSITY BY ZAHRAA MUSTAFA ABDULRAHMAN AL-ANI IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN THE DEPARTMENT

code | Unit name | Campus | Lecturer/Tutor/Unit Coordinator | MIS761 | ENTERPRISE INFORMATION MANAGEMENT | B | Lecturer: DR. JOHN LAMP | | | | Tutor: (as above) | Assignment number /

created data management and processing challenges due to technological limitations, efficiency or cost to store and process in a timely fashion. The large volume and complexity of data cannot be handled and/or processed by most current information systems in a timely manner, while traditional data mining and analytics methods developed for a centralized data system may not be practical for Big Data. Tracking the concept of Big Data management from Relational Databases Management Systems to the current