Introduction: In this report I am going to explain what a database is, features of a relational database, and the benefits of a relational database, purpose of primary keys and how they are used to build relationships, and I am also going to focus on, what are foreign keys and how they are been used, explain referential integrity and finally, how to apply referential integrity. I am also going to backed up my views and opinions with the valid references. Assessment introduction Iain’s & Co is a
service. What is a Relational Database? Relation database is a database model in which information is stored in separate tables stored in a linked relationship in a table with rows and columns. Each table has a record which is known as tuples and each record has a field which is known as an attribute which all containing unique value, every table has at least one field with another table such as many to many’ ‘one to many’ or ‘one to one’ relationships. What is the purpose of a relational database
In what way does the structure of a relational database assist the easy retrieval of information? Benefits of reducing data redundancy Reducing data redundancy will help improve the database and it assists making data retrieval more simple and easy. Data redundancy makes the storage space needed for the database smaller as it is more efficient compared to older flat based databases which wasted space as it stored the same information in more than one field. Normalisation is what is used to design
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
clearly explain the concept of relational and non-relational databases. Although those literature hightligted varieties of significant theories, this review will attempt to establish a clear meaning of relational and non-relational database Concept, NoSQL data model, ACID and Base properties, CAP Theorem and Scalability. Furthermore, it will attempt to critically evaluate structured and unstructured data, elucidate on the strength and weakness of relational and NoSQL databases and give an overview of the
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
Janu Barot Database System Midterm Exam Document based data modeling technique and relational technique In todays era, the volume of data we manage has developed to terabytes. As the volume of data continues developing, the sorts of data produced by applications get to be wealthier than some time recently. Subsequently, traditional relational databases are tested to catch, visualize, seek, share, break down, and store data. We find many difficulties in managing big
hired consultant for ACME Global Consulting to procure requirements for a large database. In this scenario, “Logical Design, Part 1”, I will develop a database management systems to convince a set of clients of the benefits of using the Entity–Relationship model (E-R) in developing a database. In addition, my management would like the following points addressed in my design: (1). List the advantages of a relational model specific to ACME Global Consulting. (2). Summarize the purpose of an Entity–Relationship
of the database management system MongoDB. Day-to-day information is growing in gigantic amount. Generated information include predominant information and it will have to be analyzed for gathering essential expertise. On the whole, relational databases are used so as to system the data. These, ways works successfully for small amount of knowledge. What if the data is very tremendous? To avoid this problems Mongo databases are introduced. MongoDB is a cross-platform document-oriented database. Classified
business and hence they can no longer keep up their customer database, inventory management, and daily sales monitoring with their current information management system. As their hired computer system consultant, I immediately recommended switching over to a computer based Point of Sale (POS) system to record sales. The next phase of upgrades will be to integrate the sales system with a database. The decision on what type of database to employ heavily depends on the scale of the business, plans