Distributed data modeling

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.

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

Learn the easy and fun story of SQL Server operations from a Microsoft Certified Trainer! We explain core operational technologies that you can learn and use right away, and that are truly needed in the field, step by step so that even beginners can easily understand.

This is an Oracle DBMS SQL course for beginners.

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.

This course explores microservice architecture and distributed environments not as a simple list of technologies, but from a 'design perspective' required in actual work and interviews. Starting from the differences between monolithic and MSA, it progressively covers incremental migration strategies, modular monoliths, clean architecture and hexagonal architecture, clearly explaining why each choice is necessary and the trade-offs involved. Through hands-on practice, you can directly verify the intent of the structure and learn about core issues inevitably encountered in distributed environments—such as data consistency, transactions, inter-service communication, and failure handling—through realistic scenarios. Based on actual questions and perspectives from Kakao interviewers, this course aims to go beyond simple knowledge acquisition and elevate your way of thinking about distributed systems to the next level.

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.

Make the most of relational database systems!

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

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

This course goes beyond simple CRUD-level database usage to help you acquire PostgreSQL skills necessary for the AI era from a practical perspective. Based on AI development experience in Silicon Valley, you will learn step-by-step how to design and utilize JSON, indexes, transactions, and even pgvector in real-world services, while mastering methods to solve complex data structures and performance issues.

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.

A beginner's guide to SQL coding! We'll teach you the secrets of writing, interpreting, and validating SQL.

Channel Talk interviewers will directly analyze the difference between failing and passing answers to the same questions, and help you prepare for actual follow-up questions.

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.

This is a course for learning MS-SQL through baseball and corporate databases.

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.

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 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.