Relational Database Model And Key Value Store Data Model Of No Sql Database System

Data objects can model relational data or advanced data types such as graphics, movies, and audio. Smalltalk, C++, Java, and others are objects used in object-oriented data. The object-relational is a combination of relational and object-oriented databases. Traditional and advanced data types can be used to construct database management systems. These systems can connect to a company’s website and update records as needed. Database Approach The main purpose of a database is data storage that can be stored and retrieved when needed. A popular common language called structured query language (SQL) is used to store and retrieve data in relational database. This language enables the systems to run a report or modify data or remove the data from the database. A database management system (DBMS) controls all aspects of a database, this is not limited to the creation, maintenance, and use of database. The DBMS ensures proper applications are able to access the database. An important purpose of a DBMS is to maintain the data definitions (data dictionary) for all the data elements in the database. It also enforces data integrity and security measures. Data Models Data models provide a contextual framework and graphical representation that aid in the definition of data elements. In a relational database, the data model lays the foundation for the database and identifies important entities,

A relational database is a database that consists of a collection of tables with columns showing entities, and rows showing data. This type of database uses a primary key and foreign key. The foreign key in another table will point to the primary key of a table, and this is how tables can relate to each other. This permits for one-to-one, one-to-many, and many-to-many relationship between the data. An advantage of relational databases includes the ease of adding or modifying new tables and entities without needing to change the structure of the database already in place. Relational database have many features, including indexing, setting data type, and setting validation tests, all these help to ensure data integrity.

Course Description This course covers database concepts. Topics include data analysis, the principal data models with emphasis on the relational model, entity-relationship diagrams, database design, normalization, and database administration. Policies Faculty and students will be held responsible for understanding and adhering to all policies contained within the following two documents: • • University policies: You must be logged into the student website to view this document. Instructor policies: This

One advantage to using relational databases include ease of use due to query languages, and the ease of altering the structure due to data independence. In addition, there are no predefined set of relationships between data records in the relational

Since 1960 and beyond the need for an efficient data management and retrieval of data has always been an issue due to the growing need in business and academia. To resolve these issues a number of databases models have been created. Relational databases allow data storage, retrieval and manipulation using a standard Structured Query Language (SQL). Until now, relational databases were an optimal enterprise storage choice. However, with an increase in growth of stored and analyzed data, relational databases have displayed a variety of limitations. The limitations of scalability, storage and efficiency of queries due to the large volumes of data [1] [2].

Database system design can be extremely time-consuming as it takes sophisticated software to create and control it. The design process becomes less user-friendly as it takes a more extensive knowledge of how to use it. The standard of an excellent database is one, which is complete, integral, simple, understandable, flexible and

The idea of relational database was first introduced by E.F.Codd at IBM in 1970. It is a kind of computer database in which data is stored in Relations and is represented in the form of tables with rows and columns. Databases can vary in sizes, ranging from very small and simple to very large and complex ones. Database users can access the data practically in an unlimited number of ways. Relational databases help in finding the information in a quick and efficient manner that one is looking for.Today many popular databases use the model of relational database.

The application standard to use this kind of database is the structured query language (SQL)

Abstract – With companies such as Facebook and Google producing large volumes of data, known as Big Data, the popularity of NoSQL databases has risen in the past decade as traditional relational databases cannot handle the vast amount of data as it was not designed to effectively manage such a large data collection. The following research paper gives an introduction to non-relational databases otherwise known as NoSQL. It defines what a NoSQL database is, the origins of its existence and the various types of NoSQL databases. It goes on to discuss the advantages and disadvantages of non-relational databases and the reason companies in the past decade are selecting to implement these databases over traditional relational databases.

A relational database Management system (RDBMS) is the physical and logical implementation of a relational

When we design a database for a relational system, the main objective in the development of a logical data model is to create an accurate representation of the data its relationship and constraints. The data should be split in different tables, which can then be joined together based on their relations with each other and the data found in each one of them. These tables should therefore be designed well to save on space and ensure that cases on data inconsistency are eliminated. Another aspect, which will be saved on, is space that is occupied by repetitive data.

Fundamentally, relational and non relational databases are very different. Relational databases generally follow the "ACID" transaction principles, while non-relational databases generally follow "BASIC" principles (Sasaki, 2015). ACID stands for atomic, consistent, isolated, durable; and prioritizes data consistency, stability, and accuracy over speed and scalability (Sasaki,

In order to understand NoSQL databases, chapter two will describe the most significant features of NoSQL databases for solving the above mentioned requirements. Since the relational data model is not suitable for some use cases, chapter three will explain structure and flexibility of different data models offered by NoSQL databases. Chapter four will compare two of the widely used NoSQL databases which are MongoDB and Cassandra.

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

The modern RDBMS advancements are not capable of supporting unstructured information with ideal space necessity. The plan winds up plainly mind-boggling and is henceforth troublesome for designers. The requirement for unstructured information administration is so annoying with conventional RDBMS arrangements (Big data in financial services industry: Market trends, challenges, and prospects 2013 - 2018). Moreover, RDBMS turns out to be an exorbitant answer for creating light-footed web applications with direct information investigation necessities. NoSQL is developing as a proficient possibility in this situation, which connects the issues related with RDBMS innovation. The market development can credit to creative dispatches of NoSQL arrangements, and collective endeavors by NoSQL sellers and clients. The endeavors of organizations, to enhance their market offerings, are creating the request of NoSQL, as a back-end bolster (Big data in financial services industry: Market trends, challenges, and prospects 2013 - 2018). The emergence of agile software development is creating the demand for NoSQL (Big data in financial services industry: Market trends, challenges, and prospects 2013 - 2018). They offer users much more avenues to accept data in many different forms. NoSQL is adaptable as SQL but offers many more uses that can apply to many organizations.