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Khamisi Kibet

Khamisi Kibet

Software Developer

I am a computer scientist, software developer, and YouTuber, as well as the developer of this website, spinncode.com. I create content to help others learn and grow in the field of software development.

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7 Months ago | 76 views

**Course Title:** SQLite Mastery: Lightweight Database Management **Section Title:** SQLite Database Design and Normalization **Topic:** Design and normalize a database schema for a real-world use case.(Lab topic) **Introduction** In this lab topic, we will apply the database design principles and normalization techniques learned in the previous sections to a real-world use case. We will design and normalize a database schema for a fictional e-commerce company, "OnlineShop". The goal is to create a well-structured and efficient database schema that can support the company's operations and scale with growth. **Case Study: OnlineShop** OnlineShop is an e-commerce company that sells products online. The company has the following requirements: * Store information about products, customers, orders, and payments. * Track inventory levels and update product quantities in real-time. * Generate reports on sales, revenue, and customer behavior. * Support multiple payment methods, including credit cards and PayPal. **Step 1: Identify Entities and Attributes** The first step in designing a database schema is to identify the entities and attributes that will be stored in the database. Based on the requirements, we can identify the following entities: * **Products**: + Product ID (primary key) + Product Name + Product Description + Price + Inventory Quantity * **Customers**: + Customer ID (primary key) + Name + Email + Address + Phone Number * **Orders**: + Order ID (primary key) + Customer ID (foreign key) + Order Date + Total Amount * **Order Items**: + Order Item ID (primary key) + Order ID (foreign key) + Product ID (foreign key) + Quantity * **Payments**: + Payment ID (primary key) + Order ID (foreign key) + Payment Method (credit card, PayPal) + Payment Date + Amount **Step 2: Create Entity-Relationship Diagram (ERD)** An ERD is a visual representation of the entities and their relationships. Based on the entities and attributes identified, we can create the following ERD: ```mermaid erDiagram CUSTOMER ||--o{ ORDER : places ORDER ||--|{ ORDER_ITEM : contains ORDER_ITEM }|..|{ PRODUCT : is ORDER ||--|{ PAYMENT : has PAYMENT }|..|{ ORDER : belongs ``` **Step 3: Normalize the Database Schema** Based on the ERD, we can normalize the database schema using the normalization techniques learned earlier. We will apply the following normalization rules: * 1NF: Ensure that each row has a unique combination of values. * 2NF: Ensure that each non-key attribute depends on the entire primary key. * 3NF: Ensure that each non-key attribute depends on the primary key. After applying the normalization rules, we get the following normalized database schema: ```sql CREATE TABLE customers ( customer_id INTEGER PRIMARY KEY, name TEXT NOT NULL, email TEXT NOT NULL, address TEXT NOT NULL, phone_number TEXT NOT NULL ); CREATE TABLE products ( product_id INTEGER PRIMARY KEY, product_name TEXT NOT NULL, product_description TEXT NOT NULL, price REAL NOT NULL, inventory_quantity INTEGER NOT NULL ); CREATE TABLE orders ( order_id INTEGER PRIMARY KEY, customer_id INTEGER NOT NULL, order_date DATE NOT NULL, total_amount REAL NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (customer_id) ); CREATE TABLE order_items ( order_item_id INTEGER PRIMARY KEY, order_id INTEGER NOT NULL, product_id INTEGER NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (order_id) REFERENCES orders (order_id), FOREIGN KEY (product_id) REFERENCES products (product_id) ); CREATE TABLE payments ( payment_id INTEGER PRIMARY KEY, order_id INTEGER NOT NULL, payment_method TEXT NOT NULL, payment_date DATE NOT NULL, amount REAL NOT NULL, FOREIGN KEY (order_id) REFERENCES orders (order_id) ); ``` **Conclusion** In this lab topic, we designed and normalized a database schema for a real-world use case. We applied the database design principles and normalization techniques learned earlier to create a well-structured and efficient database schema that can support the company's operations and scale with growth. For further reading, we recommend the following resources: * [Data Modeling with Entity-Relationship Diagrams](https://www.lucidchart.com/pages/data-modeling-with-entity-relationship-diagrams) * [Normalization in Database Design](https://www.studytonight.com/dbms/data-normalization) **Lab Exercise** Design and normalize a database schema for a real-world use case of your choice. Ensure that you apply the database design principles and normalization techniques learned earlier. **Leave a comment or ask for help** If you have any questions or need help with the lab exercise, please leave a comment below.
Course
SQLite
Database
Queries
Optimization
Security

Designing a Normalized Database Schema for E-commerce

**Course Title:** SQLite Mastery: Lightweight Database Management **Section Title:** SQLite Database Design and Normalization **Topic:** Design and normalize a database schema for a real-world use case.(Lab topic) **Introduction** In this lab topic, we will apply the database design principles and normalization techniques learned in the previous sections to a real-world use case. We will design and normalize a database schema for a fictional e-commerce company, "OnlineShop". The goal is to create a well-structured and efficient database schema that can support the company's operations and scale with growth. **Case Study: OnlineShop** OnlineShop is an e-commerce company that sells products online. The company has the following requirements: * Store information about products, customers, orders, and payments. * Track inventory levels and update product quantities in real-time. * Generate reports on sales, revenue, and customer behavior. * Support multiple payment methods, including credit cards and PayPal. **Step 1: Identify Entities and Attributes** The first step in designing a database schema is to identify the entities and attributes that will be stored in the database. Based on the requirements, we can identify the following entities: * **Products**: + Product ID (primary key) + Product Name + Product Description + Price + Inventory Quantity * **Customers**: + Customer ID (primary key) + Name + Email + Address + Phone Number * **Orders**: + Order ID (primary key) + Customer ID (foreign key) + Order Date + Total Amount * **Order Items**: + Order Item ID (primary key) + Order ID (foreign key) + Product ID (foreign key) + Quantity * **Payments**: + Payment ID (primary key) + Order ID (foreign key) + Payment Method (credit card, PayPal) + Payment Date + Amount **Step 2: Create Entity-Relationship Diagram (ERD)** An ERD is a visual representation of the entities and their relationships. Based on the entities and attributes identified, we can create the following ERD: ```mermaid erDiagram CUSTOMER ||--o{ ORDER : places ORDER ||--|{ ORDER_ITEM : contains ORDER_ITEM }|..|{ PRODUCT : is ORDER ||--|{ PAYMENT : has PAYMENT }|..|{ ORDER : belongs ``` **Step 3: Normalize the Database Schema** Based on the ERD, we can normalize the database schema using the normalization techniques learned earlier. We will apply the following normalization rules: * 1NF: Ensure that each row has a unique combination of values. * 2NF: Ensure that each non-key attribute depends on the entire primary key. * 3NF: Ensure that each non-key attribute depends on the primary key. After applying the normalization rules, we get the following normalized database schema: ```sql CREATE TABLE customers ( customer_id INTEGER PRIMARY KEY, name TEXT NOT NULL, email TEXT NOT NULL, address TEXT NOT NULL, phone_number TEXT NOT NULL ); CREATE TABLE products ( product_id INTEGER PRIMARY KEY, product_name TEXT NOT NULL, product_description TEXT NOT NULL, price REAL NOT NULL, inventory_quantity INTEGER NOT NULL ); CREATE TABLE orders ( order_id INTEGER PRIMARY KEY, customer_id INTEGER NOT NULL, order_date DATE NOT NULL, total_amount REAL NOT NULL, FOREIGN KEY (customer_id) REFERENCES customers (customer_id) ); CREATE TABLE order_items ( order_item_id INTEGER PRIMARY KEY, order_id INTEGER NOT NULL, product_id INTEGER NOT NULL, quantity INTEGER NOT NULL, FOREIGN KEY (order_id) REFERENCES orders (order_id), FOREIGN KEY (product_id) REFERENCES products (product_id) ); CREATE TABLE payments ( payment_id INTEGER PRIMARY KEY, order_id INTEGER NOT NULL, payment_method TEXT NOT NULL, payment_date DATE NOT NULL, amount REAL NOT NULL, FOREIGN KEY (order_id) REFERENCES orders (order_id) ); ``` **Conclusion** In this lab topic, we designed and normalized a database schema for a real-world use case. We applied the database design principles and normalization techniques learned earlier to create a well-structured and efficient database schema that can support the company's operations and scale with growth. For further reading, we recommend the following resources: * [Data Modeling with Entity-Relationship Diagrams](https://www.lucidchart.com/pages/data-modeling-with-entity-relationship-diagrams) * [Normalization in Database Design](https://www.studytonight.com/dbms/data-normalization) **Lab Exercise** Design and normalize a database schema for a real-world use case of your choice. Ensure that you apply the database design principles and normalization techniques learned earlier. **Leave a comment or ask for help** If you have any questions or need help with the lab exercise, please leave a comment below.

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SQLite Mastery: Lightweight Database Management

Course

Objectives

  • Understand the core concepts of relational databases and SQLite's role as a lightweight solution.
  • Learn to write efficient queries and manage databases with SQLite.
  • Master advanced SQLite features such as joins, subqueries, and indexing.
  • Develop skills in database design and optimization using SQLite.
  • Learn best practices for managing and securing SQLite databases.

Introduction to SQLite and Relational Databases

  • What is SQLite and why use it?
  • Understanding the structure of relational databases.
  • Setting up the SQLite development environment.
  • Introduction to basic SQL commands in SQLite: SELECT, FROM, WHERE.
  • Lab: Install SQLite and write basic queries to retrieve data from a sample database.

Creating and Managing SQLite Databases

  • Creating and managing SQLite databases and tables.
  • Understanding data types in SQLite.
  • Using CREATE TABLE, ALTER TABLE, and DROP TABLE.
  • Best practices for defining primary keys and foreign keys in SQLite.
  • Lab: Create a database and tables, and insert initial data using SQLite.

Basic Data Retrieval and Filtering

  • Using SELECT statements for querying data.
  • Filtering data with WHERE, AND, OR, and NOT.
  • Sorting data with ORDER BY.
  • Limiting results with LIMIT and OFFSET.
  • Lab: Write queries to filter, sort, and limit data in an SQLite database.

Aggregate Functions and Grouping Data

  • Using aggregate functions in SQLite: COUNT, SUM, AVG, MIN, MAX.
  • Grouping data with GROUP BY.
  • Filtering grouped data using HAVING.
  • Advanced data aggregation techniques.
  • Lab: Write queries to aggregate and group data for reporting purposes.

Working with Multiple Tables: Joins and Relationships

  • Understanding table relationships and foreign keys.
  • Introduction to JOIN operations: INNER JOIN, LEFT JOIN, RIGHT JOIN.
  • Combining data from multiple tables with UNION and UNION ALL.
  • Choosing the right type of join for different use cases.
  • Lab: Write queries using different types of joins to retrieve related data from multiple tables.

Inserting, Updating, and Deleting Data

  • Inserting new data into tables (INSERT INTO).
  • Updating existing records (UPDATE).
  • Deleting records from a table (DELETE).
  • Handling conflicts and using the REPLACE command.
  • Lab: Perform data manipulation tasks using INSERT, UPDATE, and DELETE.

Subqueries and Advanced Data Retrieval

  • Understanding subqueries and their use cases.
  • Writing scalar and table subqueries.
  • Correlated subqueries and performance considerations.
  • Using subqueries with SELECT, INSERT, UPDATE, and DELETE.
  • Lab: Write queries with subqueries for advanced data retrieval.

SQLite Database Design and Normalization

  • Introduction to good database design principles.
  • Understanding normalization and normal forms (1NF, 2NF, 3NF).
  • Handling denormalization in SQLite for performance optimization.
  • Designing a well-structured and efficient SQLite database schema.
  • Lab: Design and normalize a database schema for a real-world use case.

Transactions and Data Integrity

  • Understanding transactions and SQLite's ACID properties.
  • Using BEGIN TRANSACTION, COMMIT, and ROLLBACK.
  • Managing data consistency with transactions.
  • Error handling and ensuring data integrity with constraints.
  • Lab: Write queries to implement transactions and manage data consistency in a multi-step process.

Indexing and Performance Optimization

  • Introduction to indexing and its impact on performance.
  • Creating and managing indexes in SQLite.
  • Using the EXPLAIN command to analyze query execution.
  • Best practices for optimizing SQLite queries and database structure.
  • Lab: Analyze the performance of queries and apply indexing techniques for optimization.

Views, Triggers, and Advanced Features

  • Creating and managing views in SQLite.
  • Introduction to triggers and their use cases.
  • Using triggers to automate actions on data changes.
  • Advanced SQLite features such as virtual tables and FTS (Full-Text Search).
  • Lab: Write SQL scripts to create views and triggers in an SQLite database.

Final Project Preparation and Review

  • Overview of final project requirements.
  • Review of key concepts covered throughout the course.
  • Best practices for designing, querying, and managing SQLite databases.
  • Q&A and troubleshooting session for the final project.
  • Lab: Plan and start developing your final project.

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