Database - SQL

This course is an easy-to-understand explanation of database design theory, focusing on practical exercises. Most people who have experienced it through books, etc. have probably felt that database theory was difficult and given up. I did the same. However, if you know it, you will find that it is an easy and very interesting field. In this course, the design content is organized so that you can understand it just by looking at it.

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 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 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 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 programming for the first time. The lectures are not boring at all. Most of the lectures proceed through examples after a simple explanation.

We would like to provide an opportunity to learn SQL, a language used in relational databases, in general. In particular, we wrote the execution examples in the ORACLE environment. The learning content is largely divided into 2 parts and a total of 11 lectures. After learning the entire content, you can cultivate the ability to perform tasks in a database along with the general knowledge of SQL, and you can also prepare for the nationally certified SQL developer qualification.

Easy explanations and examples are provided so that you can apply them directly to your work.

This course is a practical Airflow master program designed to help you understand "why Airflow works this way" and enable you to design and debug data pipelines on your own. It covers everything from Apache Airflow's core mechanisms to detailed theory and hands-on practice involving DAGs, Operators, Hooks, Scheduling, Timezones, Idempotency, and Templates.

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

A beginner's guide to SQL coding! We'll teach you the secrets of writing, interpreting, and validating SQL.

Make the most of relational database systems!

This is a code-lab-oriented course where you will directly build big data or distributed processing system clusters (HDFS, Zookeeper, Spark, Zeppelin) that guarantee High Availability.

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.

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

A current database expert from a major global company generously shares 20 years of corporate practice and teaching experience!

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

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.

This course is a master class that systematically covers the fundamental principles and practical applications of MongoDB. Starting with core MongoDB concepts, you will systematically learn essential topics for practical work, such as database design, CRUD operations, indexing, aggregation pipelines, performance optimization, transactions, and security. It explains topics step-by-step so even beginners can understand, and you can deeply learn the working principles of MongoDB through exercises and examples. This is the best introductory and practical course for developers who want to build strong MongoDB skills for practical work.

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 🚀