Database Intermediate (Modeling)

This course is not focused on C# grammar. It focuses on understanding and creating classes. It covers basic grammar, but it also includes a lot of practical program writing tips because it goes through many examples.

This course was created for those who find databases challenging, making it easy to understand concepts and build your skills through practice. This lecture covers database fundamentals and SQL language usage. For learning how to create databases, you can take the database design course. Since most program developers encounter databases in their work, I've made an effort to explain in detail how to approach databases from a programmer's perspective.

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.

This course does not teach the grammar of C#. It simply uses C# as a tool for designing object-oriented programs. This course covers in depth the essential content that intermediate and higher level programmers need to know, as well as the content that is essential to developing programs that are linked to databases.

This course is mainly about ADO.NET and will be practiced with WinForms programs using the C# language. In addition, it will explain various fields such as database design, SQL writing, stored procedure writing, and libraries and transactions created with ADO.NET through practical programming through sample projects.

This course is for those who are learning database programming for the first time or those who have some knowledge but want to learn systematically. From concepts to practical exercises, you will master the database query language by organizing examples of types that frequently occur in real life.

This course is for those who are learning programming for the first time. The lectures are not boring at all. Most of the lectures proceed through examples after a simple explanation.

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.

[TPC DB!] A course that allows you to learn database modeling while thinking, learn database modeling step by step, and master everything from database modeling to web programming implementation all at once.

Make the most of relational database systems!

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.

Through in-depth theoretical explanations of Kafka Connect and detailed practical training that can be used immediately in the field, we will help you grow into an expert in building data linkage and data pipelines based on Kafka Connect that are needed in the field.

mongoDB, NoSQL You hear a lot these days, but is it still an unfamiliar database? Aren't you using it like a relational database (RDS/SQL)? No matter how good the technology is, if it's not used correctly, it will have the opposite effect. That's why we often see cases of failure in using MongoDB. This lecture will teach you everything from basic concepts to practical know-how so that you can use MongoDB as MongoDB-like as possible.

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 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.

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

I learned it the hard way, so you can learn it the easy way I've discarded unnecessary theory and included only the SQL essentials. Quickly build your SQL confidence.

If you want to be recognized as a machine learning expert based on large-scale data, from understanding the core framework of Spark machine learning, to SQL-based data processing through difficult practical problems, to data analysis through business domain analysis, and to the ability to implement optimized machine learning models, please join this course.

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

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

We have gathered Apache Kafka application programming knowledge used in real environments! We will take a look at and practice various functions of Apache Kafka that are key to building data pipelines.

Through this course, you can learn about Docker and set up a CI environment.

Uncover true value in the age of data! 📊 Designing applications focused on data has now become essential. Develop the insight and skills your company wants with the latest trends and practical case studies. Start now with efficient data processing and design secrets! Your next step, leap into the data-driven world!

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.

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.