Learn Database Structures of Famous Apps and Understand DB Design in 3 Hours

I've created a beginner-friendly and practical 'Introduction to Elasticsearch' course!

This is a code lab-based class where you will directly build a big data system or distributed processing system cluster (HDFS, Zookeeper, Spark, Zeppelin) that guarantees high availability.

I've made a 'DB Design Introduction/Practice' lecture that's easy for non-majors to understand and immediately applicable in practice!

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.

Learn how to write SQL queries and work with databases using the MariaDB client development tool HeidiSQL.

Let's learn together about Columnar Storage, which allows you to conveniently handle both structured and unstructured data provided by GCP and allows for a free table format, and BigQuery, a universal database.

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

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.

Learn how to model data in a distributed database environment.

★PYTHON★ This is a basic lecture on server development using Fast API. Learn how to develop servers easily, quickly, and conveniently using various packages such as Fast API, SQLAlchemy, Pydantic, and Starlette! Don't worry, we have prepared a DB backup file as well as integration with PostgreSQL! We will teach you the "basics" of UI design using Dash and Plotly and provide the source code used in the lecture :)

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

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.

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