Distributed data modeling

Learn cache strategies that can be utilized in large-scale systems by building them directly with Spring Boot. Understand problem situations like Cache Penetration, Cache Stampede, and Hot Key, and implement resolution strategies.

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

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.

AI Era-Proof Silicon Valley Internship & 30 Big Tech System Design & Open Source Practical Contribution Complete Course Mission Submission All students can apply for a US Palo Alto local AI startup internship, with document screening exemption and interview opportunities provided, and this is a course where you design and scale 30 practical system designs using big tech cases like Netflix, Tesla, Meta, Tinder, etc. At the end, you design your own service from architecture → DB → scaling, contribute to an actually operating open source AI coding agent project (achieving 1.8k downloads per week), complete your portfolio, and finalize your resume.

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

[Newbies to Web Development Only] Let's Build a Spring Boot REST API Step-by-Step, the Easy Way

[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 course on creating practical Unity games with databases. You can work through the difficult-to-approach parts through the lectures.

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

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

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.

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

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

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.

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.

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.

Because you never know when or how software will grow, you always need to be prepared to continue growing. This provides one direction for that.

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.

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.