Relational Model: Analyze relation, record, field, and keys in a relational model.

Lesson 20/59 | Study Time: Min


Relational Model: Analyze relation, record, field, and keys in a relational model.

Surprisingly, the world we live in is full of relational models. From the way we organize our contacts on our phones to the way businesses manage their operations, relational models are everywhere. This lesson will delve deep into the heart of Relational Models and how they form the foundation for our interactions with data.

The Foundation: Tables and Rows

In a relational database, the primary method of organizing data is through the use of tables. Imagine a traditional spreadsheet, with rows and columns forming a grid. Each row represents a single, distinct item or entry. Let's consider a music streaming app. Each song that the app can play could be a row in a table. Here, the table could be named 'Songs'.

CREATE TABLE Songs

(

Song_ID int,

Song_Name varchar(255),

Artist_Name varchar(255),

Album_Name varchar(255)

);


In the above SQL statement, we are creating a table named 'Songs' with various attributes like Song_ID, Song_Name, etc. Each row in the 'Songs' table represents a unique song.

The Organizing Principle: Columns and Data Types

The columns, or fields in a table, represent the different characteristics of that item. In the 'Songs' table example, each song has a Song_Name, an Artist_Name, and an Album_Name. Each of these is a column in our table. Moreover, each column is defined with a specific Data Type that dictates the nature of data it can store. For example, Song_Name is of type varchar which can store alphanumeric characters.

The Connection: Primary and Foreign Keys

In the realm of relational databases, one of the most crucial components is the concept of Primary Keys and Foreign Keys. A primary key is a unique identifier for each record in the table. It helps in uniquely identifying each row in a table. In the 'Songs' table, 'Song_ID' can be our primary key.

CREATE TABLE Songs

(

Song_ID int PRIMARY KEY,

Song_Name varchar(255),

Artist_Name varchar(255),

Album_Name varchar(255)

);


On the other hand, a foreign key is used to link two tables together. It is a field (or collection of fields) in one table, that is a primary key in another table. Let's say we have another table 'Albums', where 'Album_Name' is the primary key. The 'Album_Name' in the 'Songs' table will then be a foreign key.

To sum up, understanding the relation, record, field, and keys in a relational model serves as a keystone for managing and manipulating data in SQL. Mastery over these concepts is thus fundamental to a successful journey into the world of data science and business analytics.


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1- Introduction 2- Models of data communication and computer networks: Analyse the models used in data communication and computer networks. 3- Hierarchical computer networks: Analyse the different layers in hierarchical computer networks. 4- IP addressing in computer networks: Set up IP addressing in a computer network. 5- Static and dynamic routing: Set up static and dynamic routing in a computer network. 6- Network traffic management and control: Manage and control network traffic in a computer network. 7- Network troubleshooting: Diagnose and fix network problems. 8- Introduction 9- Concepts and sources of big data. 10- Recommendation systems, sentiment analysis, and computational advertising. 11- Big data types: streaming data, unstructured data, large textual data. 12- Techniques in data analytics. 13- Problems associated with large data sets used in applied analytical models. 14- Approaches to visualize the output from an enforced analytical model. 15- Big data processing platforms and tools. 16- Performing simple data processing tasks on a big data set using tools 17- Introduction 18- Relational Database Management Systems: Analyze the concepts and architecture of a relational database management system. 19- Entity Relationship Model: Analyze the components of an entity relationship model. 20- Relational Model: Analyze relation, record, field, and keys in a relational model. 21- ER to Relational Model Conversion: Perform a conversion from an ER model to the relational model. 22- Functional Dependency: Analyze the concepts of closure sets, closure operation, trivial, non-trivial, and semi-trivial functional dependencies. 23- Normal Forms: Analyze the concepts of lossless, attribute-preserving, and functional-dependency-preserving decomposition, and first normal form. 24- Installation of Programming Languages and Databases: Install MySQL and phpMyAdmin and install Java and Python programming languages. 25- CRUD Operations: Perform create, read, update, delete (CRUD) operations in MySQL. 26- MySQL Operations: Perform MySQL operations using CONCAT, SUBSTRING, REPLACE, REVERSE, CHAR LENGTH, UPPER, and LOWER commands. 27- Aggregate Functions: Perform MySQL operations using count, group by, min, max, sum, and average functions. 28- Conditional Statements and Operators: Perform MySQL operations using not equal, not like, greater than, less than, logical AND, logical OR. 29- Join Operations: Perform MySQL operation. 30- Introduction 31- Historical development of databases: Analyze the evolution of technological infrastructures in relation to the development of databases. 32- Impact of the internet, the world-wide web, cloud computing, and e-commerce: Analyze the impact of these technologies on modern organizations. 33- Strategic management information system (MIS): Analyze the characteristics and impact of a strategic MIS. 34- Information systems for value-added change: Analyze how information systems can support value-added change in organizations. 35- Functionality of information communication technology: Analyze the functionality offered by information communication technology and its implications. 36- International, ethical, and social problems of managing information systems: Define the international, ethical, and social problems associated. 37- Security and legislative issues in building management information systems: Define the security and legislative issues related to building MIS. 38- Security and legislative issues in implementing management information systems: Define the security and legislative issues related to implementing MIS. 39- Security and legislative issues in maintenance. 40- Introduction 41- Ethical concepts in computing: Analyse common ethical concepts and theories in computing. 42- Laws and social issues in information technology: Analyse laws and social issues in areas including privacy, encryption, and freedom of speech. 43- Intellectual property and computer crime: Analyse the laws relating to trade secrets, patents, copyright, fair use and restrictions, peer-to-peer. 44- Data privacy: Define data privacy and analyse the types of data included in data privacy. 45- Ethical theories and the U.S. legal system: Analyse philosophical perspectives such as utilitarianism versus deontological ethics and the basics. 46- Ethical dilemmas in information technology: Apply ethical concepts and an analytical process to common dilemmas found in the information technology. 47- Impacts of intellectual property theft and computer crime: Analyse the impacts of intellectual property theft and computer crime. 48- Ethics in artificial intelligence (AI): Analyse the ethics in AI, including autonomous vehicles and autonomous weapon systems. 49- Ethics in robotics: Analyse the ethics in robotics, including robots in healthcare. 50- Introduction 51- Technologies involved in building a secure e-commerce site. 52- Common problems faced by e-commerce sites. 53- Requirements analysis and specification for an e-commerce project. 54- Writing a project proposal and creating a presentation. 55- Front-end development tools, frameworks, and languages. 56- Back-end development languages, frameworks, and databases. 57- Application of software development methodologies. 58- Creating a project report and user documentation. 59- Delivering structured presentations on the software solution.
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