A CDC Pipeline Built with Debezium, MySQL, and Kafka

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

Learn everything you need to know about MariaDB (MySQL) as a developer, including beginners, backend developers, and SQLD exam preparation students. The class is focused on hands-on practice, where you will build your own DB.

From the core concepts and infrastructure setup of Kafka, Hadoop, Spark, and Airflow to hands-on practice with Java and Python, as well as building production-level pipelines in an AWS environment.

After learning SQL tuning, automate recurring tuning tasks. This hands-on project connects everything from collecting MySQL queries to AI diagnosis, empirical validation, handoff to the person in charge, and tracking recurrence.

Systematically learn the internal structure and operating principles of Apache Kafka, a core technology for real-time data streaming. From basic concepts to cluster construction, client development, and microservices application, you will acquire all the practical knowledge and know-how necessary to build the capability for stable Kafka operations.

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.

This course is designed to help students learn and practice PHP programming concepts. It is designed for students who want to learn PHP programming concepts.

We covered the concepts considered while migrating 20 billion data items managed through the existing MongoDB to MySQL.

Master building scalable, fault-tolerant, event-driven applications using Go and Apache Kafka. Learn production-ready distributed system architecture used by modern companies for microservices, financial platforms, and real-time analytics. Gain hands-on experience with Kafka components and Go concurrency patterns to handle high-throughput workloads.

From the fundamentals of MySQL usage to the advanced techniques required in real-world service environments, you will learn progressively. The course also covers a wide range of topics, including data modeling techniques based on various cases and practical data, evaluating the effectiveness of Foreign Key design, analyzing the Google Calendar schema DDL, and modern DDL design principles. It provides an in-depth understanding of how to use MySQL as a core component of a system, rather than merely as a database.

This course goes beyond basic CRUD-level database usage, helping you develop the PostgreSQL skills needed in the AI era from a practical, real-world perspective. Drawing on AI development experience in Silicon Valley, you’ll gradually learn how to design and use JSON, indexes, transactions, and pgvector in actual services, while gaining the skills to solve complex data structure and performance problems.

We enable you to fundamentally understand and resolve issues where Hangeul appears broken on web pages or in databases, or files contain unknown characters.

Inflearn cumulative students over 30,000, Datarian's SQL basics course with rich online/offline teaching experience. Learn SQL basic theory and solve 10 SQL problems together.

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.

A must-have subject for aspiring developers and those looking to get a job in big data!!

Let's create a dashboard by visualizing various data.

★.NET 8.0★ This is a basic Windows Desktop development course using WinForms. Learn how to easily perform DB CRUD operations using EntityFrameworkCore. I will teach you class design methods based on loose coupling and the "basics" of Form UI Design. The source code used in the lecture is also provided :)

This course focuses more on data modeling through entity design than on JPA technical explanations. Based on the principle that solid DB design is the foundation of application development, we analyze various design patterns—such as one-to-many, many-to-many, inheritance, and collections—alongside business scenarios. You will learn by directly observing the process of code being transformed into actual tables on screen. To ensure immediate practical application, we provide business use cases, source code, and test codes for each design pattern.

This course proceeds in stages where you learn and apply necessary knowledge while building infrastructure, similar to real-world practice.