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.

[TPC DB!] A course that allows you to learn database modeling while thinking, learn database modeling step by step, and master everything from database modeling to web programming implementation all at once.

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

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.

It provides a key guide to understanding the internal mechanisms of Oracle DB architecture and growing as a performance tuning and performance analysis expert.

This course focuses on building the real skills needed in actual development work. The goal is not simply to learn how to write code well, but to experience how to work well as a developer. The examples are based on the commerce domain, covering cases frequently encountered in real-world work environments, and are provided in SpringBoot & Kotlin. However, it's a course where anyone can contemplate and experience real-world development through thought-provoking content, without being dependent on any specific language or framework. Based on the practical perspective of a senior developer and former director at Toss Payments who led a large-scale payment service organization, the course is designed to help you learn the thought processes and design decisions used in actual work environments.

Extract and utilize data through Oracle 18c and become a database expert!

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 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.

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

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

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.

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.

This is a course on creating practical Unity games with databases. It covers topics that are usually difficult to encounter, explained through lectures.

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.

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.

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

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

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.