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 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.

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 is an introductory course that organizes the most frequently appearing database concepts in interviews and practical work with a flow-centered + diagram-centered approach. From basic SQL syntax to normalization, transactions, indexes, sharding/partitioning, and security, it structurally connects and explains complex DB concepts with real examples. At the end, an interview practice chapter is included, so you can confidently answer questions like "What is a transaction?" and "When do you use indexes?"

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

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.

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

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.

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.

Make the most of relational database systems!

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.

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.

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

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.

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.

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.

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