Back-end development languages, frameworks, and databases.

Lesson 56/59 | Study Time: Min

Course: Level 7 Diploma in Information Technology

Back-end development languages, frameworks, and databases:

Imagine a bustling online store that is open 24/7. Thousands of visitors are browsing products, adding items to their cart, making payments, and expecting their purchases to be shipped on time. Now, imagine the complexity and magnitude of software development required to manage this virtual shopping hive. That's the essential function of back-end development in e-commerce sites!

Role of Back-End Development in E-Commerce Sites 🖥️💼

The back-end development acts as the brain of an e-commerce site. It operates beyond the interface that users interact with, in the intricate weaves of server-side scripting, database management, and server configuration. It's responsible for managing user connections, compiling and managing data, applying business logic, and delivering appropriate responses back to the front-end. Without it, a beautiful front-end is like a car without an engine.

Server-Side Scripting 📜

Server-side scripting is the powerhouse of back-end development. It uses various programming languages, including PHP, Python, and Ruby, to create dynamic web pages based on user inputs or actions. For instance, when a user requests to view their shopping cart, the server-side script retrieves the relevant data from the database and generates a unique web page for the user.

<?php

//PHP server-side script to retrieve shopping cart data

$user_id = $_SESSION['user_id'];

$query = "SELECT * FROM cart WHERE user_id = $user_id";

$result = mysqli_query($db, $query);

Database Management 💽

Behind every e-commerce site is a robust database that stores all crucial data - from product details, user profiles, to order history. MySQL, PostgreSQL, and MongoDB are popular Database Management Systems (DBMS) used in e-commerce applications. They ensure data integrity, support complex queries, and handle large volumes of data. For instance, MySQL's ACID compliance makes it a reliable choice for handling financial transactions in an e-commerce platform.

Server Configuration ⚙️

Server configuration is another critical aspect of back-end development. It involves setting up and managing the web server to ensure optimal performance, security, and scalability. A well-configured server can efficiently handle peak traffic, maintain fast load times, and thwart potential security threats.

Popular Back-End Development Languages, Frameworks, and Databases 🚀🛠️

When it comes to back-end development, there are several languages and frameworks at the developers' disposal.

PHP, Python, and Ruby 🎨

PHP is a classic choice for server-side scripting, especially for WordPress sites. Its simplicity and large community make it a great starting point for beginners.

Python, with its clear syntax and powerful frameworks like Django, is a favorite for building complex e-commerce platforms. It's the power behind Instagram and Google!

Ruby, paired with the Rails framework, is praised for its elegance and speed of development. It's the language behind Shopify and Airbnb.

Laravel, Django, and Ruby on Rails 🌉

Laravel is a PHP framework that offers a clean, elegant syntax and rich features, making the development process enjoyable and truly fulfilling.

Django, the Python framework, is known for its "batteries-included" philosophy, providing tools needed for most complex applications.

Ruby on Rails, often just Rails, is a Ruby framework that emphasizes convention over configuration, making it easier to build complex applications with less code.

MySQL, PostgreSQL, and MongoDB 🗂️

MySQL is a reliable, open-source relational database widely used in web applications for its fast performance and ACID compliance.

PostgreSQL is an advanced, open-source relational database system known for its robustness, SQL compliance, and flexibility.

MongoDB is a popular NoSQL database offering high performance, high availability, and easy scalability. It works well with real-time applications and big data solutions.

Back-end development is a crucial aspect of e-commerce applications that requires a deep understanding and application of suitable technologies. By exploring different development languages, frameworks, and databases, you can create robust and efficient e-commerce solutions.

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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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