MariaDB client development, HeidiSQL

Sometimes, data processing is blocked and frustrating. If you are not a professional programmer or developer, learning unfamiliar fields such as Python or Java is not easy and there is not enough time. This is for those who only know Excel and SQL basics when it comes to frequently used things. This is the first part of the SQL query book that you can find and use when you need it.

Through a hands-on curriculum using MariaDB and HeidiSQL, you can learn the core concepts of SQL and how to use it in practice while collecting, preprocessing, and analyzing data.

We will create a remote development environment using VS Code and extensions, and learn about WSL and code-server, a VS Code used on the web.

If you are good at using mind maps, try expanding the areas of application. It can be used in various fields such as presentation materials, weekly reports, chronological timelines, agile scrum and to-do lists, storyboards, etc.

We will look at usage and examples of the 108 main internal functions provided by MariaDB using the HeidiSQL development tool.

Learn how to draw an ERD and convert it to a database and tables using MySQL Workbench.

We will study Total Commander, which allows you to manage folders and files in Windows more conveniently.

Let's edit and process the countless data generated through public services to build our own database, and discover another hidden world through a series of tasks that occur in the process and by utilizing SQL.

For those of you who often forget how far you've thought and organized, here's how to create and use a mind map using Freeplane!

We will look at usage and examples of the 108 main internal functions provided by MariaDB using the HeidiSQL development tool.

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.

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Inflearn cumulative students of over 30,000, Datarian's advanced SQL course with extensive online/offline teaching experience. Learn advanced SQL theory and solve 25 practice problems together.

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

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

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From Java basics to advanced concepts, and Oracle SQL too, Backend web development series with hands-on practice, taught by star instructor Young Cody Kim who explains clearly for non-majors and coding beginners

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 course is designed to help you learn the core functions of FastAPI, as well as the entire process of web service development. Through this course, we will help you become a FastAPI expert developer needed in the field.

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

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

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.

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