## 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. ## Weekly Breakdown ### Week 1: Introduction to SQLite and Relational Databases #### Topics: - [**What is SQLite and why use it?**](https://spinncode.com/designs/SeB3YP3w): Discover the power of SQLite, a free and open-source relational database management system, and learn why it's a popular choice for various applications due to its lightweight and self-contained nature, ease of use, and robust security model. Explore its key features, benefits, and use cases in web applications, mobile devices, embedded systems, and desktop applications. Learn how to leverage SQLite's capabilities to store and manage data efficiently. - [**Understanding the structure of relational databases.**](https://spinncode.com/designs/N2mKNXTN): Relational database structure is the foundation of SQLite, and understanding it is key to effective database management. A relational database consists of tables, columns, rows, primary keys, and foreign keys that establish relationships between tables, including one-to-one, one-to-many, and many-to-many relationships. Mastering this structure and using SQL commands to create and manage tables is crucial for database mastery. - [**Setting up the SQLite development environment.**](https://spinncode.com/designs/EnUgSR7M): Master the basics of SQLite development by learning how to install SQLite, choose a suitable development environment, and set up a new database file. Explore various development environment options, including DB Browser, SQLiteShell, and popular IDEs. Get started with a self-contained database that's ideal for learning and small-scale projects. - [**Introduction to basic SQL commands in SQLite: SELECT, FROM, WHERE.**](https://spinncode.com/designs/xjRQqJYp): Master the basics of SQL with this guide to SELECT, FROM, and WHERE commands in SQLite, learning how to write queries to retrieve and filter data from relational databases, and combine commands to achieve specific results. Key concepts and practical takeaways are also covered. #### Lab: - [**Install SQLite and write basic queries to retrieve data from a sample database.**](https://spinncode.com/designs/7x33WVDM) #### Lab Summary: Learn the fundamentals of SQLite by installing it on your system, setting up a sample database, and writing basic queries to retrieve data. Gain hands-on experience and practical skills by exploring the `anime` database and learning how to filter, sort, and optimize your queries. Discover best practices for writing efficient SQL code. ### Week 2: Creating and Managing SQLite Databases #### Topics: - [**Creating and managing SQLite databases and tables.**](https://spinncode.com/designs/GeLoFHKZ): Master essential skills for SQLite developers by learning how to create, manage, and optimize SQLite databases and tables, with topics covering data types, constraints, and best practices for effective data management. - [**Understanding data types in SQLite.**](https://spinncode.com/designs/4X8pIRpu): Learn about SQLite's five basic data types - NULL, INTEGER, REAL, TEXT, and BLOB - and how to use them effectively in your database. Understand data type affinity and best practices for specifying data types in table creation to avoid conversion errors. Mastering data types is key to creating efficient and well-structured databases in SQLite. - [**Using CREATE TABLE, ALTER TABLE, and DROP TABLE.**](https://spinncode.com/designs/E98ktFqA): Mastering SQLite Databases: Essential Commands for Creating, Modifying, and Deleting Tables. Learn how to use the CREATE TABLE, ALTER TABLE, and DROP TABLE SQL commands effectively, and discover essential key concepts and practical takeaways for working with SQLite databases. - [**Best practices for defining primary keys and foreign keys in SQLite.**](https://spinncode.com/designs/rMDlxiOc): Defining primary and foreign keys is essential for maintaining data integrity in SQLite databases. Best practices include using unique identifiers, enabling foreign key constraints, and properly referencing related tables, ensuring relationships are established and data remains consistent. #### Lab: - [**Create a database and tables, and insert initial data using SQLite.**](https://spinncode.com/designs/j1PIm8Rj) #### Lab Summary: Master the basics of SQLite database management by learning how to create a new database, define tables with primary and foreign keys, and insert initial data. This guide covers key concepts, best practices, and provides a step-by-step walkthrough for applying SQLite concepts to real-world scenarios. ### Week 3: Basic Data Retrieval and Filtering #### Topics: - [**Using SELECT statements for querying data.**](https://spinncode.com/designs/gFjQqoyH): Master the art of data retrieval and filtering with the SELECT statement, learning how to specify data, filter it, and format output. Discover how to use this powerful SQL command to retrieve all columns, specific columns, distinct values, and apply aliases, aggregate functions, and grouping and having clauses. Practice with real-world examples and take your SQLite skills to the next level. - [**Filtering data with WHERE, AND, OR, and NOT.**](https://spinncode.com/designs/Mo8ngyeP): Master filtering data in SQLite databases by learning how to use the WHERE, AND, OR, and NOT operators to retrieve specific data based on conditions and combine multiple conditions. Understand the syntax and usage of each operator through practical examples and take your SQLite skills to the next level. Learn how to effectively filter data and prepare for more advanced database management concepts. - [**Sorting data with ORDER BY.**](https://spinncode.com/designs/zepS58ra): Master the art of sorting data in SQLite using the ORDER BY clause, learning how to sort in ascending and descending order, by single or multiple columns, to get more accurate results and refine your database management skills. - [**Limiting results with LIMIT and OFFSET.**](https://spinncode.com/designs/hHgOeIe4): Mastering SQLite data retrieval with LIMIT and OFFSET clauses, learn how to limit query results, skip rows, and improve performance with use cases in paginating data, retrieving recent data, and skipping rows. Key takeaways include best practices for using LIMIT and OFFSET clauses to optimize query results. Learn how to apply these clauses for efficient data management. #### Lab: - [**Write queries to filter, sort, and limit data in an SQLite database.**](https://spinncode.com/designs/OdYjmpqh) #### Lab Summary: Master the basics of data retrieval in SQLite by writing queries to filter, sort, and limit data, using powerful clauses like WHERE, ORDER BY, and LIMIT. Learn to extract specific information from a database, and get hands-on practice with exercises to test your skills. Take your SQL skills to the next level and explore how to manipulate data with ease. ### Week 4: Aggregate Functions and Grouping Data #### Topics: - [**Using aggregate functions in SQLite: COUNT, SUM, AVG, MIN, MAX.**](https://spinncode.com/designs/7qHgJHpM): Mastering SQLite aggregate functions can unlock valuable insights from your data. Learn how to use COUNT, SUM, AVG, MIN, and MAX to summarize and analyze datasets, extracting meaningful information from your SQLite databases. - [**Grouping data with GROUP BY.**](https://spinncode.com/designs/TRWmfwRH): Mastering the GROUP BY clause in SQLite to efficiently group and analyze data, including aggregating data by single or multiple columns and best practices for performance optimization. Key concepts and real-world examples are demonstrated, showcasing the power of grouping data for data insights. - [**Filtering grouped data using HAVING.**](https://spinncode.com/designs/wd4JQWuz): Master filtered grouped data using the SQLite HAVING clause, a powerful tool for specifying conditions that must be met by each group to be included in results. Learn its syntax, examples, and best practices to take your database management skills to the next level. Discover common use cases and real-world applications of the HAVING clause in data analysis and beyond. - [**Advanced data aggregation techniques.**](https://spinncode.com/designs/vqUIitur): Master advanced data aggregation techniques in SQLite, including ROLLUP, CUBE, and window functions to extract insights from complex data. Learn how to generate subtotals, group data, and perform calculations across related rows. #### Lab: - [**Write queries to aggregate and group data for reporting purposes.**](https://spinncode.com/designs/qD4AlPze) #### Lab Summary: Master advanced SQLite queries for data aggregation and grouping. Learn how to use aggregate functions and GROUP BY to combine multiple values and divide result sets into subsets, producing meaningful insights for reporting purposes. ### Week 5: Working with Multiple Tables: Joins and Relationships #### Topics: - [**Understanding table relationships and foreign keys.**](https://spinncode.com/designs/CwvkB6cj): Mastering SQLite relationships and foreign keys. Learn how tables are connected, including one-to-one, one-to-many, and many-to-many relationships, and how to use foreign keys to enforce referential integrity in your SQLite database. - [**Introduction to JOIN operations: INNER JOIN, LEFT JOIN, RIGHT JOIN.**](https://spinncode.com/designs/cg62RIi3): Combining data from multiple tables in SQLite is crucial for meaningful analysis. Learn about INNER JOIN, LEFT JOIN, and RIGHT JOIN operations and how to use them to retrieve data from two or more tables based on common columns. Master the syntax and practice examples. - [**Combining data from multiple tables with UNION and UNION ALL.**](https://spinncode.com/designs/DovF8Pkc): Combine data from multiple tables in SQLite using UNION and UNION ALL operators, learning when to use each to handle duplicate rows and optimize performance. Master key differences and best practices for effective data combination. - [**Choosing the right type of join for different use cases.**](https://spinncode.com/designs/eLtktfvP): Learn how to work with multiple tables in SQLite by mastering different join types, including INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, and CROSS JOIN, to effectively combine data from various tables in your database. Understand the key to choosing the right type of join for different use cases by examining the relationships between tables and the desired outcome. With practical examples and clear guidance, you'll be able to retrieve the desired data and avoid common errors. #### Lab: - [**Write queries using different types of joins to retrieve related data from multiple tables.**](https://spinncode.com/designs/nwkXgoFw) #### Lab Summary: Mastering SQLite joins is essential for retrieving related data from multiple tables. This hands-on lab covers four types of SQL joins – INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN – with practical examples to improve query efficiency. ### Week 6: Inserting, Updating, and Deleting Data #### Topics: - [**Inserting new data into tables (INSERT INTO).**](https://spinncode.com/designs/XU2d8etp): Mastering data insertion in SQLite with the INSERT INTO statement, understanding its syntax, and exploring best practices for populating your database with data. Learn how to add new records with default values, autoincrementing primary keys, and multiple value sets. Discover how to improve your database management skills and data integrity. - [**Updating existing records (UPDATE).**](https://spinncode.com/designs/jOn8QCxX): Mastering SQLite updates with the UPDATE statement. Learn how to update existing records, avoid common errors, and follow best practices for efficient data management. - [**Deleting records from a table (DELETE).**](https://spinncode.com/designs/QEuUTv0I): Mastering SQLite data modification with the DELETE statement. Learn how to safely and efficiently delete records from SQLite databases using conditional clauses and adhere to best practices for minimizing potential risks. - [**Handling conflicts and using the REPLACE command.**](https://spinncode.com/designs/F5Wyp9tq): SQL conflict resolution in SQLite involves handling UNIQUE constraint errors, and can be managed with methods such as ROLLBACK, ABORT, FAIL, IGNORE, and REPLACE. Learn how to implement alternative conflict resolution algorithms and the REPLACE command to replace existing data with new values. #### Lab: - [**Perform data manipulation tasks using INSERT, UPDATE, and DELETE.**](https://spinncode.com/designs/pxr98nUF) #### Lab Summary: Master essential SQL commands in SQLite, including INSERT, UPDATE, and DELETE, to manipulate data in existing tables, and learn how to handle conflicts using the REPLACE command. This lab provides hands-on experience with data insertion, record updates, and deletions, as well as understanding constraints on tables. ### Week 7: Subqueries and Advanced Data Retrieval #### Topics: - [**Understanding subqueries and their use cases.**](https://spinncode.com/designs/bNkvbShr): Mastering subqueries in SQLite is essential for handling complex database queries. Subqueries allow you to nest queries, making it possible to compare data, filter data, and perform calculations that involve multiple tables. By understanding the different types of subqueries, such as scalar and table subqueries, and following best practices, you can improve your SQLite skills and tackle more complex queries with ease. - [**Writing scalar and table subqueries.**](https://spinncode.com/designs/i9bMzEdn): Mastering subqueries in SQLite can greatly enhance your data retrieval and manipulation capabilities. Learn how to write efficient scalar and table subqueries to filter, aggregate, and retrieve specific data, and discover best practices for optimizing your subqueries to improve performance. By the end of this lesson, you'll be able to write effective subqueries in SQLite and take your database management skills to the next level. - [**Correlated subqueries and performance considerations.**](https://spinncode.com/designs/gXkGdCJx): Mastering correlated subqueries in SQLite database management is crucial for efficient data retrieval. By understanding performance considerations and applying techniques like joins, common table expressions, and optimization, you can improve database performance. Effective use of correlated subqueries can enhance data retrieval while minimizing resource-intensive operations. - [**Using subqueries with SELECT, INSERT, UPDATE, and DELETE.**](https://spinncode.com/designs/YHvNiCg2): Effective Use of Subqueries in SQLite for Data Retrieval and Manipulation. Learn how to use subqueries with SELECT, INSERT, UPDATE, and DELETE statements to perform complex operations, and understand best practices for ensuring optimal performance. #### Lab: - [**Write queries with subqueries for advanced data retrieval.**](https://spinncode.com/designs/DAAYud1J) #### Lab Summary: Learn how to write advanced queries using subqueries in SQLite to retrieve and manipulate data from multiple tables, including filtering data, selecting data from multiple tables, and retrieving aggregated data, with examples and practice exercises to help you master the techniques. ### Week 8: SQLite Database Design and Normalization #### Topics: - [**Introduction to good database design principles.**](https://spinncode.com/designs/OXHgHv4P): Effective database design is crucial for efficient data management, with principles aiming to achieve data integrity, consistency, scalability and performance. Good design involves entity-relationship modeling, minimizing data redundancy, avoiding circular dependencies, and normalizing data to ensure data accuracy and consistency. By following these guidelines, developers can create robust and scalable databases. - [**Understanding normalization and normal forms (1NF, 2NF, 3NF).**](https://spinncode.com/designs/LMBuPTj4): Normalization is a database design concept that eliminates data redundancy and inconsistency. By understanding three normal forms (1NF, 2NF, 3NF), you can design a robust SQLite database that ensures data integrity and scalability. Effective normalization improves database maintenance, updates, and performance. - [**Handling denormalization in SQLite for performance optimization.**](https://spinncode.com/designs/i4Nbhw8g): Learn how to optimize database performance in SQLite by using denormalization techniques, including its benefits and drawbacks, types of denormalization, and best practices to handle it effectively for improved query performance. Find out when to use denormalization and how to maintain data consistency and integrity in denormalized tables. - [**Designing a well-structured and efficient SQLite database schema.**](https://spinncode.com/designs/5wRbLDkd): Designing a well-structured and efficient SQLite database schema is crucial for ensuring data consistency, reducing redundancy, and improving query performance. Key principles and best practices include separating concerns, minimizing data redundancy, and optimizing data types. By following these guidelines and implementing techniques like indexing and foreign keys, developers can create a well-organized and scalable database schema. #### Lab: - [**Design and normalize a database schema for a real-world use case.**](https://spinncode.com/designs/G7LaDgYj) #### Lab Summary: Design and normalize a database schema using real-world e-commerce data, applying principles such as entity-relationship diagrams and normalization rules to create efficient database structures. Learn to identify entities and attributes, create ERDs, and apply normalization techniques including 1NF, 2NF, and 3NF. ### Week 9: Transactions and Data Integrity #### Topics: - [**Understanding transactions and SQLite's ACID properties.**](https://spinncode.com/designs/3frtSxxs): Mastering transactions is crucial for maintaining data integrity in SQLite. In SQLite, transactions ensure multiple operations are executed as a single unit of work, adhering to the ACID properties of atomicity, consistency, isolation, and durability. By using transactions, developers can ensure that database operations are executed reliably, maintaining the consistency and integrity of the data. - [**Using BEGIN TRANSACTION, COMMIT, and ROLLBACK.**](https://spinncode.com/designs/ZGVZOwQg): Mastering SQLite transactions to ensure data integrity involves using the BEGIN TRANSACTION, COMMIT, and ROLLBACK statements to manage multiple operations as a single unit of work. This ensures data remains consistent, improves performance, and provides isolation for concurrent access. Effective transaction management best practices include starting transactions before changes, committing as soon as possible, and rolling back if errors occur. - [**Managing data consistency with transactions.**](https://spinncode.com/designs/OejULowV): Ensure data consistency in SQLite with transactions, atomicity, and locking mechanisms, while following best practices to prevent conflicts, deadlocks, and maintain data integrity. Learn how to manage concurrent access and enforce data integrity constraints for reliable database operations. Master SQLite transactions to build scalable and efficient databases. - [**Error handling and ensuring data integrity with constraints.**](https://spinncode.com/designs/A7AIcjlt): Error handling and data integrity are crucial in SQLite database management, and constraints play a key role in maintaining data consistency. SQLite supports various constraint types, including Primary Key, Foreign Key, Unique, Not Null, and Check constraints, which can be implemented to enforce specific rules on table data. By using error handling methods, such as `INSERT OR` and `UPDATE OR` clauses, and constraint triggers, developers can efficiently handle errors that occur when constraints are violated. #### Lab: - [**Write queries to implement transactions and manage data consistency in a multi-step process.**](https://spinncode.com/designs/882KXhDd) #### Lab Summary: Implement transactions in SQLite to ensure data integrity, following principles of atomicity, consistency, isolation, and durability. Use SQL commands like `BEGIN TRANSACTION`, `COMMIT`, and `ROLLBACK` to execute queries and maintain data consistency. Apply constraints and triggers to enforce data rules and prevent invalid data. ### Week 10: Indexing and Performance Optimization #### Topics: - [**Introduction to indexing and its impact on performance.**](https://spinncode.com/designs/eRSkmzXJ): Learn about indexing in SQLite and how to improve query performance by reducing data retrieval time. Discover the different types of indexes, including B-Tree and R-Tree indexes, and understand when to create an index and how to identify columns that would benefit from indexing. - [**Creating and managing indexes in SQLite.**](https://spinncode.com/designs/pQ6VkkNH): Optimizing SQLite database performance involves creating and managing indexes, which enable the database engine to quickly locate specific data. Indexes can improve query performance, reduce disk I/O operations, and enforce data integrity. To create and manage indexes effectively, follow best practices such as indexing columns used in WHERE, JOIN, and ORDER BY clauses and monitoring index performance regularly. - [**Using the EXPLAIN command to analyze query execution.**](https://spinncode.com/designs/PBenRkIQ): Master the SQLite EXPLAIN command to analyze and optimize query execution. Learn how to generate a query plan, interpret the output, and apply practical tips to identify performance bottlenecks, optimize indexing, and troubleshoot query issues. - [**Best practices for optimizing SQLite queries and database structure.**](https://spinncode.com/designs/JXA3Okjj): Optimize your SQLite database and queries for improved performance. Learn best practices for database structure and query optimization, including indexing, efficient data types, and query structure. Apply these techniques to improve your database's performance and efficiency. #### Lab: - [**Analyze the performance of queries and apply indexing techniques for optimization.**](https://spinncode.com/designs/e7SjkKLs) #### Lab Summary: Optimize SQLite query performance by analyzing execution plans with the EXPLAIN command, identifying bottlenecks and applying indexing techniques such as B-tree indexes, covering indexes, and partial indexes to improve data retrieval speed. Learn how to apply best practices for indexing, including creating indexes on columns in WHERE clauses and JOIN operations. ### Week 11: Views, Triggers, and Advanced Features #### Topics: - [**Creating and managing views in SQLite.**](https://spinncode.com/designs/Tu4KsLDl): Mastering SQLite views to simplify complex queries and improve database design. Learn how to create, manage, and utilize views effectively in SQLite, from basic syntax to best practices and real-world examples. - [**Introduction to triggers and their use cases.**](https://spinncode.com/designs/NiFYosH5): Master SQLite triggers to automate actions and enforce data integrity in your databases. Learn the three types of triggers, including before, after, and instead of triggers, and understand how to use them to generate reports and automate repetitive tasks, while being aware of their potential impact on database performance. - [**Using triggers to automate actions on data changes.**](https://spinncode.com/designs/hxI5m7Mj): Create and manage triggers in SQLite to automate actions on data changes, learning how to optimize triggers for better database performance, and how to use them to enforce data integrity and prevent errors. - [**Advanced SQLite features such as virtual tables and FTS (Full-Text Search).**](https://spinncode.com/designs/rAAVF5kw): Explore advanced SQLite features to enhance database management skills. Learn how to create and utilize virtual tables for data retrieval and full-text search (FTS) for efficient text data querying. #### Lab: - [**Write SQL scripts to create views and triggers in an SQLite database.**](https://spinncode.com/designs/taG1ckkU) #### Lab Summary: Learn to write SQL scripts to create views and triggers in SQLite, simplifying complex queries, ensuring data integrity, and automating actions on data changes. Discover how to use the `CREATE VIEW` and `CREATE TRIGGER` statements with practical examples, and take your SQLite skills to the next level. ### Week 12: Final Project Preparation and Review #### Topics: - [**Overview of final project requirements.**](https://spinncode.com/designs/c8kY0NC7): Apply SQLite skills to a real-world scenario by designing and implementing a database for a fictional online store, then submit a comprehensive project showcasing database schema, data population, querying data, and transaction management. Key evaluation criteria include database design, data integrity, query performance, and code organization. - [**Review of key concepts covered throughout the course.**](https://spinncode.com/designs/8cUpQnwt): This topic reviews key concepts in SQLite database management, including data retrieval, filtering, and manipulation, as well as working with multiple tables, using aggregate functions and subqueries. The review covers best practices for database design, normalization, and data integrity. - [**Best practices for designing, querying, and managing SQLite databases.**](https://spinncode.com/designs/pJICzv1J): Mastering SQLite database design, querying, and management techniques for efficient data handling and optimal performance. Follow best practices, including normalization, indexing, and query optimization to leverage SQLite's capabilities. Implement these techniques to excel in your final project and create well-structured databases. - [**Q&A and troubleshooting session for the final project.**](https://spinncode.com/designs/r2TZ8g11): Prepare for success in your SQLite final project by troubleshooting common issues, following best practices, and reviewing essential tips to ensure you meet the requirements and complete the project effectively. #### Lab: - [**Plan and start developing your final project.**](https://spinncode.com/designs/VPbt7x6i) #### Lab Summary: Apply your SQLite skills to a real-world project, designing a database management system that demonstrates mastery of data modeling, database design, and query optimization. Start by planning and brainstorming your project idea, consider examples like e-commerce or fitness tracker databases, and then develop your project using best practices such as meaningful table names and indexes. ## Final Project - **Description:** Develop a fully-functional SQLite database project that demonstrates a strong understanding of SQLite concepts. The project should include multiple tables, complex queries, and performance optimizations. - **Presentation:** Students will present their projects, discussing the database design, query optimizations, and advanced features used. ## Grading Breakdown - **Assignments&Labs:** 40% - **MidtermProject:** 20% - **FinalProject:** 30% - **Participation&Quizzes:** 10%