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 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.

This is the second lecture following the Database Design Fundamentals course. This is a practical course that focuses on real-world projects from start to finish. After understanding all the lecture content, you will be able to freely design databases.

This is a system design process for actually designing US Big Tech systems.

Through detailed lectures and hands-on practice on the core elements of SQL, we will provide you with a solid foundation to grow into a SQL analysis expert.

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

Beyond simply using Express.js, this lecture will have you directly implementing its internal engine from scratch to finish, allowing you to truly internalize the operating principles of a real server. You will directly build all of Express's components, such as routers, middleware, request-response objects, static file handling, and template rendering, from the ground up, providing an experience that fosters growth as a server developer.

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.

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.

In the software system design course taught by Silicon Valley engineers, you will learn the design principles and architectural patterns of large-scale systems and how to build stable and scalable software solutions. In addition, you will cover performance optimization and fault response strategies through practical cases.

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.

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

Introduction to SQL Data Analysis! Quick and easy to understand with practical problem solving!

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.

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.

This is a course on making practical Unity games with a database. Challenging areas can be covered in this course.

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