The Importance Of Interlational Database Systems

Coronel, C. (2013). Database Systems: Design, Implementation, and Management, Tenth Edition. Mason, Ohio, United States: Cengage Learning.

Relational database contains data records that do not have a preset of relationships, permitting the user to define his or her relationship when accessing the data. Since users have much control over the data being accessed, relational databases can perform a variety of tasks. Such as defining the database; querying the database; adding, editing, and deleting data from the database; modifying the structure of the database; securing data from public access; communicating within the network; and exporting and importing data (Murthy, 2008).

SQL (Structured Query Language) is a programming language designed for managing data in relational database management systems (RDBMS). The most typical uses of SQL involve applications where a user must input certain information that references a database. Some types of SQL applications are login pages, search pages, looking up account information, or other such types of uses. SQL has several language elements including clauses, expressions, predicates, queries, statements, and some insignificant white space. In today's society, RDBM systems must handle enormous amounts of data. Not only must they be able to store, reference, and retrieve data from the systems, they must also be able to do it quickly.

This scenario includes being responsible for supervising and managing setting up the company’s booth at trade shows. This business entity involves managing a quarter-million dollars of equipment. You have to track data about booth components, equipment, shippers, and shipment. The next important task is identifying the components that must be shipped and schedule for a company to deliver them to the event. In this scenario you need to have a way to track and identify each equipment piece with a specific identifier. All of the both

Manasa Cuddalore (000726927), Department of Computer Science, Lawrence Technological University. This is a final research paper for 4568-Distributive Database Systems (MCS-6323) with instructor Mazin Al Hamando.

A relational database is a group of data which classified into a set of tables that can be accessed in several ways without having to reconstruct the tables’ oftenly.Relational Database was proposed by Edgar Codd around the time 1969 since then it has become very prevalent for commercial applications. In the 20th century there were countless Relational Database System (RDBMS) ,take for instance: IBM.DB2 and Oracle.

The relational database technology dominated the web applications for more than 30 years. This technology is able to handle limited load to the database. However, the internet technologies and the advents of the smart phones make the web applications to be accessible by many users and from any location that is covered by the internet connectivity. In addition, currently, the web data in the internet is dominated by the social networking and social media applications which include: Facebook, Twitter, YouTube, Instagram and others. This kind of web applications will likely be prone to the high load of the database layer. As a result, it was not possible for the relational database technology to handle the database load for such applications. Even scaling out the application servers will not solve the database load

In the field of deductive databases there has been extensive research on the optimization of queries for Datalog (and its variants). The major interest has been the optimization of recursive queries. Ceri et al~\cite{ceri-gottlob-tanca-1989} provide an excellent summary of the field. The evaluation or comparison of optimization strategies is typified by Bancilhon and Ramakrishnan~\cite{br1986,br1988} who develop analytical cost models for the optimization strategies when applied to four queries (related to the parent and ancestor relations) and then generate numerical data from the analytical models using synthetic data driven by three shapes -- tree, inverted tree, and cylinder -- for the ``family

MongoDB is one of numerous cross-stage archive situated databases. Named a NoSQL database, MongoDB shuns the customary table-based social database structure for JSON-like archives with element constructions (MongoDB calls the organization BSON), making the combination of information in specific sorts of utilizations less demanding and quicker. Discharged under a mix of the GNU Affero General Public License and the Apache License, MongoDB is free and open-source programming.

application. Specifically, this report investigates the use of relational database design versus the no-SQL model as the preferred basis of the new application.

NoSQL databases had made for unraveling the Big Data issue by utilizing a distributed system to bring out excellent performance in data storage and retrieval at very large-scale. At this scale, pieces of the system often fail and NoSQL is created to handle these failures (Chow, 2013) (Ron, Shulman-Peleg, & Bronshtein, 2015). Various companies have espouse different sorts of non-relational databases, ordinarily alluded to as

With the technologies being evolved frequently, organizations would have to continuously look for new database technologies that would help them to deliver on the current business demands and growing complexity of applications. Scarcity of knowledge for evolving technologies makes it significant for organizations to decide wisely. Usage of some particular databases might benefit few organizations but not the rest. So it’s important to first understand the need of the organizations and then find the best solution for their requirements.

“Choosing the right OODB architecture can mean orders of magnitude difference in performance and scalability characteristics rather than a few percentage points as found in relational implementations.”

In this paper, we will review one of the graph database (Neo4j), which the graph database is part of the emerging technology that is called NoSQL and compared it with one of the traditional relational databases (MySQL). MySQL, it is being another name for Relational Databases and it has been used for a long time period until now. However, with the emergence of Big Data there was clearly a need for more flexible databases. Facebook 's Graph Search use Neo4j, a graph database, is an application which clearly displays how relationships need to be modeled in a more efficient and sophisticated manner than using conventional relational models. In this paper, we will make a comparison between MySQL and Neo4j based on the features like ACID, replication, availability and the language that is used in both of them.

In Nowadays, 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 since 1970, while the second one called Not only Structure Query Language databases (NoSQL), they are dealing with semi-structured and unstructured data; the NoSQL types are gaining their popularity with the development of the internet and the social media since April 2009. NoSQL are intending to override the cons of RDBMs, such as fixed