Database Concepts You Must Know When Coding with AI ②

Are you overwhelmed by AI-generated backend code and unsure where to look? Learn how to identify missing conditions in requests, APIs, data, concurrency, authentication, and caching—and what requirements to give the AI and what criteria to use when reviewing its output.

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

A course that helps you understand core database concepts and trains you to explain them verbally in interviews.

This is a course to learn MariaDB, a commercially available database. Even if you are learning about databases for the first time, you can learn it easily.

If you are already a developer or want to become a developer but did not major in computer science and are weak in databases, gain lifelong knowledge with this one course!

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

I have created a 'Redis Intermediate/Practical' course that is easy for non-majors to understand and can be applied immediately in real-world scenarios!

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

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

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

Secrets of people who are good at their jobs! How should I start with SQL? It covers everything from SQL installation and basic environment configuration to simple practical exercises that can be used in real life! You can also learn basic commands step by step through practical exercises.

I have created a course titled 'Introduction to Redis/Practical Application (Query Performance Optimization Edition)' that is easy for non-majors to understand and can be applied immediately in practice!

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

This course goes beyond basic CRUD-level database usage, helping you develop the PostgreSQL skills needed in the AI era from a practical, real-world perspective. Drawing on AI development experience in Silicon Valley, you’ll gradually learn how to design and use JSON, indexes, transactions, and pgvector in actual services, while gaining the skills to solve complex data structure and performance problems.

This course is designed for those who are new to Debezium-based CDC and unsure where to begin. You will gain hands-on experience with the entire process of collecting MySQL change data in real time via Kafka and delivering it to PostgreSQL. By learning everything from the basic principles of CDC to configuration and operational best practices, you will be able to build real-time data pipelines on your own.

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.

★.NET 8.0★ This is a basic Windows Desktop development course using WinForms. Learn how to easily perform DB CRUD operations using EntityFrameworkCore. I will teach you class design methods based on loose coupling and the "basics" of Form UI Design. The source code used in the lecture is also provided :)

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.

From the fundamentals of MySQL usage to the advanced techniques required in real-world service environments, you will learn progressively. The course also covers a wide range of topics, including data modeling techniques based on various cases and practical data, evaluating the effectiveness of Foreign Key design, analyzing the Google Calendar schema DDL, and modern DDL design principles. It provides an in-depth understanding of how to use MySQL as a core component of a system, rather than merely as a database.

Theory alone is not enough to automate your work. Complete a MongoDB–Streamlit project based on practical experience.