MySQL & Database Management: Create, Manage & Query Database

Understand the database structure by exploring tables, rows, and columns in MySQL, and see a simple customer table with id as primary key, plus name and email.

Explore primary keys, foreign keys, and indexes in MySQL to ensure unique rows, maintain referential integrity, and speed up queries through real-world examples.

Explore MySQL data types, including numeric (integer, decimal, float), string (varchar, char, text, enum), and date/time (date, datetime, timestamp), with practical table examples and notes on storage and data integrity.

Design a robust database schema by applying normalization, indexing, and clear relationships, using primary and foreign keys to link users, orders, products, and categories for scalable, maintainable data.

Master basic SQL queries by retrieving data with select, from, and where, creating and populating a users table, and filtering results with conditions.

Sort records by age or salary using order by, group similar data with group by, and filter groups with having to reveal cities where the average salary exceeds threshold.

Learn to apply sum, average, count, min, and max in MySQL using a sales table to compute total revenue, average price, and category counts.

Learn to handle null values and apply default constraints in MySQL to maintain data accuracy. Use is null and coalesce to replace nulls with meaningful defaults.

Explore updating and deleting data in MySQL with update and delete statements, modify records like age and email, remove specific users, and compare delete with truncate.

Learn to manage large datasets in MySQL with bulk import and bulk export, using load data in file to insert csv data and select into out file to export.

Learn how to store and query json data in MySQL, and update json fields directly. Create a json-enabled table, insert records, extract, and filter by city, email, and age.

Explore MySQL built-in functions such as abs, roundup, floor, upper, lower, and length, then create a user-defined function to compute a circle area.

Learn to catch errors in MySQL stored procedures, display custom messages, and retrieve error details for division by zero or foreign key failures.

Learn how indexing in MySQL speeds up queries by creating single and composite indexes, when to use them, and how to balance performance with the costs of inserts and updates.

Learn to identify and resolve query bottlenecks in large MySQL datasets using explain and analyze to optimize performance. Improve speed and efficiency for better user experience and server performance.

Explore caching techniques for MySQL to speed up queries and reduce database load, including query caching (pre-8.0), in-memory caching with Redis or memcache, and cache invalidation strategies.

Explore partitioning and sharding in MySQL to scale databases: partition within a single table to improve performance, and shard data across multiple databases for horizontal scaling, with hands-on demos.

Create a new user in MySQL, assign privileges with grant, refresh privileges, show grants to review privileges, alter user to change password, and drop user when needed to manage access.

Master how to grant and revoke permissions in MySQL, create users like John Doe, and assign or revoke privileges on databases to maintain security and data integrity.

Explore how MySQL encrypts data at rest and in transit, enable NoDb encryption in the configuration, create encrypted tables, and set up a secure connection with server certificates.