COMPARISON OF RELATIONAL DATABASE MODEL AND NO SQL DATABASE SYSTEM:
The Relational database and the No SQL database are both appropriate database methods depending on the way they are being implemented and the purpose of the business for which they are being incorporated. However, both the database approaches have distinct wide variety of characteristics, based on which they can be compared and contrasted in the following way.
STRUCTURE OF DATA: The data structure of a relational database comprises of table structure. Every table is identified by a unique name or label. The data tables are described as the collection of rows and columns. Each row of the table is known as the record and each column is known as the field of the specific data table. All the data sets are well organized and logical linked to each other through definite and unique relationships. A table, therefore can also be defined as the “structured collection of relationships”. The fundamental aim of developing No SQL database systems is to easily and effectively handle vast quantity of data or information in advanced web-scale applications. In order to achieve this purpose, the No SQL systems are designed as the schema-free database systems. There are different modes to define the No SQL databases that typically depend on the requirements of the data that has to be managed. The main No SQL data structures include column database, key-value store database, document store database, graph database and
Database tools and technologies affected the business processes and decision making by a great extent. The most important benefit of the database is to change unstructured information into structured information, and allow users to analysis the data stored into different tables with the help of queries. Before database, all the information used to stored into paper and other unstructured computer programs, due to which getting required information process was very slow. Due to database, all the
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.
The tables in relational databases organize data in rows and columns, simplifying data access and manipulation. It is easier for manager to understand the relational model than put all data in one table. Besides, a relational database allows tables to be linked. And the linkage reduces data redundancy and allows data to be organized more logically. In a word, relational database is easier to control, more flexible, and more intuitive than approaches.
A Database Management System or (DBMS) is an essential tool for any organization or company in today’s modern world. A DBMS is “a group of programs that manipulate the database and provide an interface between the database and its users and other application programs” (Stair & Reynolds, 2011, p. 189). So in choosing the right DBMS there are many factoring issues with choosing the right one for the company or organization. When choosing a DBMS one has to think about how the system will ultimately help the company or organization with day to day processes and the goals of the company or organization.
There are several important steps to consider when designing a database, as a well-designed database should be deployed and not only support the accuracy and integrity of business information but also avoid redundant data and assist with has enterprise level reporting tasked. If we analyze the
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
Relational database normalization entails organizing database and it includes the creation of tables as well as relationships establishment between the tables using designed rules intended to protect the data as well as make the database to be flexible. This is achieved through the elimination of redundancy as well as inconsistent dependency. Redundant data is known to waste the space of the disk thereby creating problems of
Firstly a relational database contains a set of tables which basically are linked collectively by the relationships between the tables. Also it is also known as reason such as a database is called relational database.
This paper will compare and contrast five different database management systems on six criteria. The database management systems (DBMS) that will be discussed are SQL Server 2000, Access, MySQL, DB2, and Oracle. The criteria that will be compared are the systems’ functionality, the requirements that must be met to run the DBMS, the expansion capabilities – if it is able to expand to handle more data over time, the types of companies that typically use each one, the normal usage of the DBMS, and the costs associated with implementing the DBMS.
Relational databases are the most prevalent in today’s database needs for numerous different applications. These databases go by specific rules and adding in a lot of different attributes involves complexity to the system. Especially in the web applications, it gets harder for the relational databases to handle the capacities and possibilities. The web domain thus, becomes the main motivator for NoSQL.
This report provides analysis and evaluation of how Relational Database Management System (RDBMS) can be applied to improve organization and business effectiveness. The method of analysis includes basic information of Relational Database Management System and reference of how database management can bring positive improvement on manage small or large amount of information in the organization. Also, include a brief information of business those are successful in their field’s thanks of the application of database system in their organizations and recommendations to apply Relational Database Management System to the company.
The relational database provides a number of advantages over previous models, such as the following.
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.