Relational Database Management Systems: Analyze the concepts and architecture of a relational database management system.

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Relational Database Management Systems: Analyze the concepts and architecture of a relational database management system.

Have you ever wondered how your favorite social media site stores and retrieves all the comments, likes, and shared posts? Or how your banking application keeps track of all your transactions and balances? Well, the answer lies in the use of Relational Database Management Systems (RDBMS). The magic behind this technology is largely due to its architecture and fundamental concepts.

🔍 Understanding the Concepts of a Relational Database Management System

Relational Database Management System is a program that allows you to create, update, and administer a relational database. Most commercial RDBMS use Structured Query Language (SQL) to access the database, although SQL was invented after the initial development of the relational model.

The data in an RDBMS is stored in database objects which are known as tables. A table is a collection of related data entries and it consists of columns and rows. But we're getting ahead of ourselves, let's take a step back and begin with the basic concepts upon which an RDBMS is built.

Entities and Attributes

In relational database design, an entity is anything about which information is captured. An attribute is a piece of information or a characteristic of an entity. For instance, if we consider a 'Customer' as an entity, then 'Customer Name', 'Customer ID', 'Customer Address' could be considered as attributes of the 'Customer'.

Tables: The Foundation of an RDBMS

Each entity becomes a table in the database. The attributes become columns in the table. Each row in the table then becomes an instance or an occurrence of that entity with the actual data. For example, each row in the 'Customers' table represents a different customer, with the actual name, ID, and address filled in.

CREATE TABLE Customers (

  CustomerID int,

  CustomerName varchar(255),

  CustomerAddress varchar(255)

);


Keys: Unlocking Relationships

Keys are an essential part of the relational model. They are used to establish and identify relationships between tables. The main types of keys are the primary key, foreign key, and candidate key. The primary key uniquely identifies a row within a table. The foreign key is used to prevent actions that would destroy relationships between tables. A candidate key is a column, or set of columns, in a table that can identify a unique record in a table.

🏛 The Architecture of a Relational Database Management System

The architecture of a database system is greatly influenced by the underlying computer system on which it runs. Fundamentally, the architecture of an RDBMS encompasses the 'Database Manager' and the 'Query Processor'.

Database Manager

The database manager is responsible for interacting with the user queries, and compiling and executing the SQL commands. It effectively manages the database's storage to ensure that the database is safe and secure.

Query Processor

The query processor interprets the SQL queries and instructions, transforms them into a series of low-level instructions, and then processes these instructions to fetch the required data.

👍 Advantages and 👎 Disadvantages of an RDBMS

Like any technology, an RDBMS has its pros and cons. On the positive side, an RDBMS allows for data integrity and security, establishes relationships between tables using keys, and is scalable. On the downside, it can be complex and time-consuming to design and implement, has a steep learning curve, and can be expensive in terms of hardware and software costs.

In conclusion, understanding the fundamental concepts and architecture of a relational database management system empowers you to harness the power of structured data storage and manipulation, a crucial tool in every data scientist's toolkit.


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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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