Learning database structures of famous applications and understanding DB design for 3 hours

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.

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

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.

Learn practical strategies for designing efficient and scalable database structures that accurately reflect the complex requirements of real-world scenarios.

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.

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.

This is a system design process for actually designing US Big Tech systems.

★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 :)

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.

Learn how to model data in a distributed database environment.

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.

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.