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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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    infor@spinncode.com
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7 Months ago | 47 views

**Course Title:** SQL Mastery: From Fundamentals to Advanced Techniques **Section Title:** Modifying Data: INSERT, UPDATE, DELETE **Topic:** Perform data manipulation tasks using INSERT, UPDATE, and DELETE commands. (Lab topic) **Objective:** By the end of this lab topic, you will be able to perform data manipulation tasks using INSERT, UPDATE, and DELETE commands in a database. **Materials needed:** * A database management system (DBMS) such as MySQL or PostgreSQL * A database with existing tables * A SQL client or IDE (Integrated Development Environment) ### Introduction In this lab topic, we will practice performing data manipulation tasks using the INSERT, UPDATE, and DELETE commands. These commands are essential for modifying data in a database. We will work with existing tables and practice inserting new records, updating existing records, and deleting records. ### Exercise 1: Inserting new records (INSERT INTO) For this exercise, we will create a new table called 'employees' and insert new records into it. **Step 1:** Create the 'employees' table: ```sql CREATE TABLE employees ( employee_id INT PRIMARY KEY, name VARCHAR(255), department VARCHAR(255), salary DECIMAL(10, 2) ); ``` **Step 2:** Insert new records into the 'employees' table: ```sql INSERT INTO employees (employee_id, name, department, salary) VALUES (1, 'John Smith', 'Sales', 50000.00), (2, 'Jane Doe', 'Marketing', 60000.00), (3, 'Bob Johnson', 'IT', 70000.00); ``` **Step 3:** Verify the records have been inserted: ```sql SELECT * FROM employees; ``` ### Exercise 2: Updating existing records (UPDATE) For this exercise, we will update the 'salary' of an existing record in the 'employees' table. **Step 1:** Update the 'salary' of employee with 'employee_id' 2: ```sql UPDATE employees SET salary = 65000.00 WHERE employee_id = 2; ``` **Step 2:** Verify the record has been updated: ```sql SELECT * FROM employees WHERE employee_id = 2; ``` ### Exercise 3: Deleting records (DELETE) For this exercise, we will delete an existing record from the 'employees' table. **Step 1:** Delete the record with 'employee_id' 3: ```sql DELETE FROM employees WHERE employee_id = 3; ``` **Step 2:** Verify the record has been deleted: ```sql SELECT * FROM employees; ``` ### Practical Takeaways * The INSERT INTO command is used to add new records to a database table. * The UPDATE command is used to modify existing records in a database table. * The DELETE command is used to delete existing records from a database table. * Always use the WHERE clause with UPDATE and DELETE commands to avoid modifying or deleting unintended records. ### Additional Resources * For more information on SQL syntax and commands, visit the official MySQL documentation: [https://dev.mysql.com/doc/](https://dev.mysql.com/doc/) * For more information on PostgreSQL syntax and commands, visit the official PostgreSQL documentation: [https://www.postgresql.org/docs/](https://www.postgresql.org/docs/) **Do you have any questions or need help with this lab topic? Leave a comment below and we will be happy to assist you.** **What's Next?** In the next topic, we will cover 'Introduction to subqueries and their use cases' in Subqueries and Nested Queries. Subqueries are used to nest one query inside another and can be very powerful in retrieving data from a database.
Course
SQL
Database
Queries
Optimization
Security

Modifying Data: INSERT, UPDATE, DELETE

**Course Title:** SQL Mastery: From Fundamentals to Advanced Techniques **Section Title:** Modifying Data: INSERT, UPDATE, DELETE **Topic:** Perform data manipulation tasks using INSERT, UPDATE, and DELETE commands. (Lab topic) **Objective:** By the end of this lab topic, you will be able to perform data manipulation tasks using INSERT, UPDATE, and DELETE commands in a database. **Materials needed:** * A database management system (DBMS) such as MySQL or PostgreSQL * A database with existing tables * A SQL client or IDE (Integrated Development Environment) ### Introduction In this lab topic, we will practice performing data manipulation tasks using the INSERT, UPDATE, and DELETE commands. These commands are essential for modifying data in a database. We will work with existing tables and practice inserting new records, updating existing records, and deleting records. ### Exercise 1: Inserting new records (INSERT INTO) For this exercise, we will create a new table called 'employees' and insert new records into it. **Step 1:** Create the 'employees' table: ```sql CREATE TABLE employees ( employee_id INT PRIMARY KEY, name VARCHAR(255), department VARCHAR(255), salary DECIMAL(10, 2) ); ``` **Step 2:** Insert new records into the 'employees' table: ```sql INSERT INTO employees (employee_id, name, department, salary) VALUES (1, 'John Smith', 'Sales', 50000.00), (2, 'Jane Doe', 'Marketing', 60000.00), (3, 'Bob Johnson', 'IT', 70000.00); ``` **Step 3:** Verify the records have been inserted: ```sql SELECT * FROM employees; ``` ### Exercise 2: Updating existing records (UPDATE) For this exercise, we will update the 'salary' of an existing record in the 'employees' table. **Step 1:** Update the 'salary' of employee with 'employee_id' 2: ```sql UPDATE employees SET salary = 65000.00 WHERE employee_id = 2; ``` **Step 2:** Verify the record has been updated: ```sql SELECT * FROM employees WHERE employee_id = 2; ``` ### Exercise 3: Deleting records (DELETE) For this exercise, we will delete an existing record from the 'employees' table. **Step 1:** Delete the record with 'employee_id' 3: ```sql DELETE FROM employees WHERE employee_id = 3; ``` **Step 2:** Verify the record has been deleted: ```sql SELECT * FROM employees; ``` ### Practical Takeaways * The INSERT INTO command is used to add new records to a database table. * The UPDATE command is used to modify existing records in a database table. * The DELETE command is used to delete existing records from a database table. * Always use the WHERE clause with UPDATE and DELETE commands to avoid modifying or deleting unintended records. ### Additional Resources * For more information on SQL syntax and commands, visit the official MySQL documentation: [https://dev.mysql.com/doc/](https://dev.mysql.com/doc/) * For more information on PostgreSQL syntax and commands, visit the official PostgreSQL documentation: [https://www.postgresql.org/docs/](https://www.postgresql.org/docs/) **Do you have any questions or need help with this lab topic? Leave a comment below and we will be happy to assist you.** **What's Next?** In the next topic, we will cover 'Introduction to subqueries and their use cases' in Subqueries and Nested Queries. Subqueries are used to nest one query inside another and can be very powerful in retrieving data from a database.

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SQL Mastery: From Fundamentals to Advanced Techniques

Course

Objectives

  • Understand the core concepts of relational databases and the role of SQL.
  • Learn to write efficient SQL queries for data retrieval and manipulation.
  • Master advanced SQL features such as subqueries, joins, and transactions.
  • Develop skills in database design, normalization, and optimization.
  • Understand best practices for securing and managing SQL databases.

Introduction to SQL and Databases

  • What is SQL and why is it important?
  • Understanding relational databases and their structure.
  • Setting up your development environment (e.g., MySQL, PostgreSQL).
  • Introduction to SQL syntax and basic commands: SELECT, FROM, WHERE.
  • Lab: Install a database management system (DBMS) and write basic queries to retrieve data.

Data Retrieval with SQL: SELECT Queries

  • Using SELECT statements for querying data.
  • Filtering results with WHERE, AND, OR, and NOT.
  • Sorting results with ORDER BY.
  • Limiting the result set with LIMIT and OFFSET.
  • Lab: Write queries to filter, sort, and limit data from a sample database.

SQL Functions and Operators

  • Using aggregate functions: COUNT, SUM, AVG, MIN, MAX.
  • Performing calculations with arithmetic operators.
  • String manipulation and date functions in SQL.
  • Using GROUP BY and HAVING for advanced data aggregation.
  • Lab: Write queries using aggregate functions and grouping data for summary reports.

Working with Multiple Tables: Joins and Unions

  • Understanding relationships between tables: Primary and Foreign Keys.
  • Introduction to JOIN operations: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN.
  • Combining datasets with UNION and UNION ALL.
  • Best practices for choosing the right type of join.
  • Lab: Write queries using different types of joins to retrieve related data from multiple tables.

Modifying Data: INSERT, UPDATE, DELETE

  • Inserting new records into a database (INSERT INTO).
  • Updating existing records (UPDATE).
  • Deleting records from a database (DELETE).
  • Using the RETURNING clause to capture data changes.
  • Lab: Perform data manipulation tasks using INSERT, UPDATE, and DELETE commands.

Subqueries and Nested Queries

  • Introduction to subqueries and their use cases.
  • Writing single-row and multi-row subqueries.
  • Correlated vs. non-correlated subqueries.
  • Using subqueries with SELECT, INSERT, UPDATE, and DELETE.
  • Lab: Write queries with subqueries for more advanced data retrieval and manipulation.

Database Design and Normalization

  • Principles of good database design.
  • Understanding normalization and normal forms (1NF, 2NF, 3NF).
  • Dealing with denormalization and performance trade-offs.
  • Designing an optimized database schema.
  • Lab: Design a database schema for a real-world scenario and apply normalization principles.

Transactions and Concurrency Control

  • Understanding transactions and ACID properties (Atomicity, Consistency, Isolation, Durability).
  • Using COMMIT, ROLLBACK, and SAVEPOINT for transaction management.
  • Dealing with concurrency issues: Locks and Deadlocks.
  • Best practices for ensuring data integrity in concurrent environments.
  • Lab: Write queries that use transactions to ensure data consistency in multi-step operations.

Indexing and Query Optimization

  • Introduction to indexes and their role in query performance.
  • Creating and managing indexes.
  • Using the EXPLAIN command to analyze query performance.
  • Optimizing queries with best practices for indexing and query structure.
  • Lab: Analyze the performance of various queries and apply indexing techniques for optimization.

Views, Stored Procedures, and Triggers

  • Introduction to SQL views and their use cases.
  • Creating and managing stored procedures for reusable queries.
  • Using triggers to automate actions in response to data changes.
  • Best practices for managing and maintaining views, procedures, and triggers.
  • Lab: Write SQL scripts to create views, stored procedures, and triggers.

Database Security and User Management

  • Introduction to database security concepts.
  • Managing user roles and permissions.
  • Securing sensitive data with encryption techniques.
  • Best practices for safeguarding SQL databases from security threats.
  • Lab: Set up user roles and permissions, and implement security measures for a database.

Final Project Preparation and Review

  • Overview of final project requirements and expectations.
  • Review of key concepts from the course.
  • Best practices for designing, querying, and managing a database.
  • Q&A and troubleshooting session for the final project.
  • Lab: Plan and begin working on the final project.

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