Young-han Kim's Practical Database - Design Part 2, 9 Design Patterns You Must Encounter in Practice

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

This is a Java course for those who are new to programming. You can easily learn Java by following along with the code.

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

Beginners to Spring can quickly learn the entire Spring web application development process by creating examples.

Not only developers, but also planners and data analysts learn databases step-by-step, starting from the basics of SQL.

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

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

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

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

You will systematically learn database design through three stages—conceptual, logical, and physical—and strengthen your skills through a practical shopping mall project. Gain real-world know-how through modern design techniques and the latest trends.

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

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

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.

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.

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

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 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.

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

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

You will systematically learn database design through three stages—conceptual, logical, and physical—and strengthen your skills through a practical shopping mall project. Gain real-world know-how through modern design techniques and the latest trends.

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

We covered the concepts considered while migrating 20 billion data items managed through the existing MongoDB to MySQL.

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

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!

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

"SQLD is an exam where past questions are not released." In preparation for the upcoming 62nd exam (2026.08.22)- Practical materials featuring 50 questions per subject and chapter, vividly reconstructed by directly recalling the latest 61st exam!

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.

You will be able to extract the data you want directly without the help of a developer. We will comfortably cover everything needed for analysis, from simple queries to joins. Start learning SQL with a lecture directly from the author of the book <SQL for Product Managers>.

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

A guide to the exam for nationally recognized SQL qualifications! Establish a comprehensive knowledge system related to SQL.

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 aims to obtain the state-certified SQLD (SQL Developer) certification. An SQLD refers to a developer who can write accurate SQL to manipulate and extract data while developing application software based on knowledge of databases and data modeling.

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 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.

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.

Perfect preparation for the SQLD certification, from understanding SQL to practical function application, finishing with the latest exam questions!

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!

Just listen. The lecturing skill, captivating power, and lecture quality are different.