Distributed data modeling

We will learn how to create a system to support large amounts of data and traffic by creating it directly with Spring Boot.

Learn cache strategies for large-scale systems by building them yourself with Spring Boot. Understand and implement solutions for issues such as Cache Penetration, Cache Stampede, and Hot Keys.

Learn database design systematically through three stages: conceptual, logical, and physical, and strengthen your capabilities with a practical shopping mall project. Acquire real-world expertise through modern design techniques and the latest trends.

Make the most of relational database systems!

This is a practical backend course designed to cultivate the service planning and design thinking skills that developers need in the AI era.

You can learn about the core functions of MySQL and how to effectively use them in your work. You can also gain a new understanding of important parts that you have been using for a long time and have overlooked, and gain in-depth database knowledge.

Databases and SQL are essential for backend developers! We prioritize explaining them in an easy-to-understand manner.

Learn common components of global-scale services through popular papers, books, and articles.

This lecture comprehensively organizes the content that would be good for those who want to get a job as a new Spring Java backend developer, especially those who are about to have an interview.

Beyond basics like API design, CRUD implementation, and JWT authentication, all the way to backend architecture design! This is an introductory system design course to help you build 'your own backend architecture' that you can confidently discuss in interviews.

You can solve design problems by writing code in a formatted way. You can understand code or patterns written by other programmers.

I have summarized the essential SQL SELECT statements and basic usage of Google Sheets that I learned while working as an analyst at a service company.

SQL data analysis! We will teach you how to solve practical problems that are applicable in the field, quickly and easily!

Learn how to analyze 5 million Korean apartment transaction data using PostgreSQL. Covers the process of data cleaning, transformation, and deriving meaningful insights through various SQL queries.

This course guides you to accurately understand essential programming concepts and theories that are often neglected in the rush of implementation. By learning similar, contrasting, and related concepts together, you will master multiple ideas at once. After completing this course, you will become a developer with a solid conceptual foundation.

By implementing various practical data analysis cases using SQL, you can simultaneously improve your data analysis and SQL utilization skills.

This course provides a step-by-step learning path, ranging from the fundamental usage of MySQL to advanced techniques required in real-world production environments. It covers a wide range of topics, including data modeling techniques based on various case studies and practical data, evaluating the effectiveness of Foreign Key designs, analyzing Google Calendar schema DDL, and modern DDL design principles. Through this course, you will gain an in-depth understanding of how to utilize MySQL as a core system component rather than just a simple database.

This is a course on creating a practical Unity game with a database. You can learn through lectures about aspects that are difficult to encounter.

This course teaches MS-SQL through baseball/company databases.

If you can master DB and programming, you should be more than halfway prepared for the information processing engineer exam. Let's take a look at the DB and programming parts, which are worth 45 to 55 points in the practical exam, and pass the written exam steadily.

Immutable truths for developers/engineers that will never change even in the AI era! We provide essential computer science knowledge for free to prepare for developer/engineer job applications and technical interviews.