In relational model, the data and relationships are represented by collection of inter-related tables. Each table is a group of column and rows, where column represents attribute of an entity and rows represents records. Show
Sample relationship Model: Student table with 3 columns and four records. Table: Student
Table: Course
Here Stu_Id, Stu_Name & Stu_Age are attributes of table Student and Stu_Id, Course_Id & Course_Name are attributes of table Course. The rows with values are the records (commonly known as tuples).
Traditional Databases such as Hierarchical and Network Databases are unable to provide enough infrastructure to satisfy business requirements. The emergence of Relational Databases in the industry has helped companies to maintain their data in a simpler and more efficient manner. Relational Databases deeply integrate with applications written in any programming language. The Relational Data Model in RDBMS greatly helped businesses to enhance data usability. It uses logical relations to store and represent data in tables. With the help of SQL, it becomes easier to access and query data and write complex queries. Before working with any Relational Database it is essential to have a good knowledge of the Relational Data Model in RDBMS. In this article, you will understand about the Relational Data Model in RDBMS, the advantages, and disadvantages of using it, and the best practices you can follow while creating a Relational Data Model in RDBMS. Table of ContentsWhat is RDBMS?Image SourceRDBMS or a Relational Database Management System is a type of Database that stores data in tables having rows and columns so it can be used in relation to other datasets. Relational Databases are capable of handling different types of data and complex queries with ease. Most organizations use RDBMS to store data instead of hierarchical Databases. Relational Database Management System uses SQL Structured Query Language to access and manipulate data in the Database. All the popular Databases such as MS SQL Server, MySQL, Oracle, etc are RDBMS. It allows organizations and IT teams to create, update, administer and interact with Databases. Key Features of RDBMSSome of the main key features of RDBMS are listed below:
What is a Relational Model?Image SourceA Relational Data Model in RDBMS is the primary data model which represents how data is stored in the Relational Databases. Earlier, every application stored data in its unique structure that is inefficient to understand every time the developer wants to use that data. It is hard to maintain and optimize. But with the help of the Relational Data Model in RDBMS, the problem of multiple arbitrary data structures is solved. The Relational Data Model in RDBMS stores data in the form of relations (tables) which provides a standard and simpler way to represent and query data that can be used by any application. Tables in the Relational Data Model in RDBMS are efficient, intuitive, and flexible ways to store and access structured data in the Databases. Also, SQL language deeply merges with RDBMS to write and query data in the Database. Key Concepts when Developing Relational ModelsThe Database consists of many components based on the Relational Data Model in RDBMS. The following components are listed below:
Different Types of Constraints in Relational ModelThe Relational Data Model in RDBMS follows some conditions to ensure the validation of a relation. The conditions that must hold for data present in the database for accuracy and accessibility are called Relational Integrity Constraints. Before performing any operation such as insertion or deletion of data from a Database, or updating an existing value, a constraint check is done to maintain the data integrity. The different constraints in Relational Data Model in RDBMS are listed below:
Domain ConstraintsImage SourceDomain Constraints specify that each attribute is bound to have a value that lies in a specific range of values. If there is no attribute value for the corresponding domain then it is not of the appropriate data type which violates the Domain Constraints. According to Domain Constraints for every tuple, the value of its attribute must be unique. The supporting data types for Domain Constraints are integers, real numbers, characters, Booleans, variable length, strings, etc. Key ConstraintsImage SourceKey Constraints specify that every relationship must have an attribute or a set of attributes such that a tuple can be uniquely identified in the tuple. It can never be NULL and has to be unique. Referential Integrity ConstraintImage SourceReferential Integrity Constraint in Relational Data Model in RDBMS is based on Foreign Key. It is defined between 2 inter-related tables. According to Referential Integrity Constraint if a relation refers to a key attribute of a different or same table, then that key must exist in the given relation.
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Want to take Hevo for a spin? Sign Up here for a 14-day free trial and experience the feature-rich Hevo. Anomalies in Relational Data ModelsAn anomaly in the Relational Data Model in RDBMS is something different from the normal state or irregular than usual. There are 3 types of Database anomalies identified while designing a Database, listed below.
Insertion AnomalyInsertion Anomaly occurs when a value tried to insert in a Database throws an error due to the absence of another attribute value. Example: If you try to insert marks of the student concerning the name of the student, it will throw an error if the student’s name is not present in the Database. Deletion AnomalyDeletion Anomaly occurs when data is automatically deleted or loss of certain data upon deletion of any other data value related to the element. Example: From the Employee table that is related to the department table. If the department has one employee working under it and you try to delete the data of this employee from the table then there will be data loss related to the department also which can lead to data inconsistency. Update AnomalyModification or Update Anomaly occurs when data redundancy or partial data updates leads to data inconsistency. Example: If the database contains duplicate values while updating the records and now data is stored redundantly then there will be data inconsistency. Advantages of Relational Data ModelsSome of the benefits of using the Relational Data Model in RDBMS are listed below.
Disadvantages of Relational Data ModelsA few disadvantages of the Relational Data Model in RDBMS are listed below.
Best Practices for Creating Relational Data ModelsA few best practices you can consider following while creating a Relational Data Model in RDBMS are listed below:
ConclusionIn this article, you learnt about the Relational Data Model in RDBMS and how it helps Relational Databases to organize data and access it. You also read about the advantages and disadvantages of using Relational Databases. Companies widely use Relational Databases for transaction data because of their high performance, scalability, and simplicity. Visit our Website to Explore HevoCompanies need to analyze their business data stored in multiple data sources. Data needs to be loaded to the Data Warehouse to get a holistic view of the data. Hevo Data is a No-code Data Pipeline solution that helps to transfer data from 100+ data sources to desired Data Warehouse. It fully automates the process of transforming and transferring data to a destination without writing a single line of code. Want to take Hevo for a spin? Sign Up here for a 14-day free trial and experience the feature-rich Hevo. Share your experience of learning about the Relational Data Model in RDBMS in the comments section below! |