Young-han Kim's Practical Database - Design Part 1, Complete Mastery of Modern Data Modeling

Learn the fundamentals of SQL and databases essential for practical work. Not only developers, but also planners and data analysts can learn SQL in depth.

Learn practical core Java object-oriented concepts easily via example code.

This book provides an in-depth study of various intermediate-level Java features necessary for practical work, using example code.

With a practical example, we will design and develop a web application using Spring Boot and JPA. Through this process, you will understand how to use Spring Boot and JPA in practice.

Learn Java generics and collection frameworks in depth with a focus on practical applications. Also learn the basics of data structures.

Learn the core HTTP features essential for practical use and how to design proper HTTP APIs.

Spring beginners can grasp core principles and solidify basics via examples.

You can understand all the web technologies required for web application development from the basics and complete your learning. In MVC Part 2, you can learn all the practical application techniques needed for real-world web development, building upon the core principles and structures from MVC Part 1.

Develop APIs using Spring Boot and JPA. And learn how to optimize JPA's extreme performance.

You can understand and perfect the basics of DB data access technology required for backend development. You can understand the principles and structure of Spring DB access technology and grow into a more in-depth backend developer.

Solve everything from the basics of querydsl to practical use all at once!

For those who are new to JPA or who use JPA in practice but lack basic theory, By learning the basic theory of JPA solidly, even beginners can confidently use JPA in practice.

You can understand and master all the web technologies required to develop web applications from the basics. You can understand the core principles and structure of Spring MVC and grow into a more in-depth backend developer.

Spring Data JPA goes beyond the limitations of the past and allows you to complete development with just an interface, without implementing classes in the repository, as if by magic. It also provides all the basic CRUD functions that have been developed repeatedly. We will share practical know-how on Spring Data JPA.

You can utilize and implement the database data access technologies required for backend development. You will understand the principles and structure of Spring DB access technologies and grow into a more in-depth backend developer.

You will learn the core principles and advanced technologies of Spring in depth and be able to use Spring confidently.

Learn the essential modern Java technologies of Lambda, Stream, and functional programming with Java, from the basics to the practical level, in depth.

Learn I/O, networking, reflection, and annotations in depth, from the basics to the practical level. Build a web application server (WAS) directly in Java.

This course will cover everything you need to know about Spring Boot for practical use.

This course provides an in-depth study of multithreading and concurrency, from basic principles to practical applications.

Learn the fundamentals of SQL and databases essential for practical work. Not only developers, but also planners and data analysts can learn SQL in depth.

Solve the challenges you inevitably face in real-world design—such as common codes, category hierarchies, history tracking, soft deletes, statistics, dynamic design, and JSON utilization—with 9 core patterns. This is not just simple theory; it contains practical know-how and selection criteria for various scenarios, proven across numerous projects. Now, become a true design expert who can confidently handle any requirement that comes your way.

Learn how to model data in a distributed database environment.

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

SQL is an indispensable tool in data analysis. What is it and why is it important? If you are a beginner, check it out here!

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.

"SQLD is an exam where past questions are not officially released." Preparing for the upcoming 60th exam (2026.3.7)— Practical study material featuring 50 vividly reconstructed questions by subject and chapter, based on the latest 59th exam!

Learn about Race Condition, a representative concurrency problem. Practice by comparing single server environments and distributed environments that cause concurrency issues. Understand transaction boundaries and isolation levels. Learn the differences between optimistic locking, pessimistic locking, and distributed locking.

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

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

From SQL basics to practical analysis! Learn powerful SQL skills to solve business problems by extracting, transforming, and analyzing data.

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.

Learn how modern data teams leverage dbt. Build maintainable analytics models and validated data pipelines hands-on. Master core concepts of analytics engineering with a practical focus. This course is for those who want to take their data career to the next level 🚀

This is a special lecture that can lay the theoretical foundation to simultaneously prepare for the Microsoft AZ-900 certification, and as the latest content reflecting the scope of questions as of May 2025, by providing content related to core data concepts, Azure's relational data, Azure's non-relational data, and Azure's analytical workloads in a form combining theory and practice, it can be utilized as a meaningful educational opportunity to not only obtain the certification but also take the first step towards becoming a data professional.

SQLD Yellow Book 176 Problem-Solving Course for those who studied but can't solve problems. After completion, you'll go beyond passing to become an expert. SQLD All-in-One Pass!

Knowledge Graph-based RAG System Implemented with Neo4J: Next-Generation Search Technology Utilizing Data Relationships Beyond Simple Vector Search Maximizing RAG Performance with the Power of Graph Databases!

SQLD, where do I even start? This course is for those who feel completely lost - you'll meet a transformed version of yourself after completing it. SQLD All-in-One Pass!

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

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 focuses more on data modeling through entity design than on JPA technical explanations. Based on the principle that solid DB design is the foundation of application development, we analyze various design patterns—such as one-to-many, many-to-many, inheritance, and collections—alongside business scenarios. You will learn by directly observing the process of code being transformed into actual tables on screen. To ensure immediate practical application, we provide business use cases, source code, and test codes for each design pattern.