Introduction to Building Data Pipelines Using Kafka, Hadoop/Spark, and Airflow

This course is designed for those who are new to Debezium-based CDC and unsure where to begin. You will gain hands-on experience with the entire process of collecting MySQL change data in real time via Kafka and delivering it to PostgreSQL. By learning everything from the basic principles of CDC to configuration and operational best practices, you will be able to build real-time data pipelines on your own.

This course is designed to help you learn the use of ksqlDB and its core mechanisms through various hands-on exercises. After completing the course, you will be able to easily and quickly build a real-time streaming data analysis system based on Kafka.

This is a concept-oriented course where you learn 'when and why to stream events' rather than just memorizing Kafka syntax. Using a single shopping mall project, 'On-Market,' as a comprehensive case study, you will master the event flows and principles of 10 real-world scenarios—including orders, inventory, notifications, search, and analytics. You will develop the ability to see the entire system, covering everything from topics, partitions, and consumer groups to event sourcing, CQRS, and idempotency.

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 is a course to learn large-scale traffic processing and real-time streaming through practical projects by integrating RabbitMQ, Kafka, and Redis with Python Flask.

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.

Learn the basic, essential, and practical knowledge of Kafka that software developers need to know. We will integrate Kafka using Spring Boot and conduct hands-on exercises for sending and receiving messages tailored to various real-world scenarios.

Practical Hadoop & Hive Big Data with LLM Hadoop Ecosystem with AI Tutor This course focuses on understanding the Hadoop Ecosystem, a core technology of the Big Data era, and provides hands-on learning on how to process large-scale data using Distributed Storage (HDFS), Distributed Processing (MapReduce), and Data Warehousing (Hive). The curriculum is designed to help you master the core technologies of big data processing step-by-step, from Hadoop's basic structure and operating principles to HDFS, YARN, MapReduce, and Hive. In particular, you will build practical skills applicable in the field by performing tasks ranging from setting up a virtual machine-based practice environment to actual data processing and analysis. Furthermore, this course goes beyond simple video lectures by providing a self-directed learning environment utilizing an LLM-based AI Tutor. Students can maximize their learning efficiency through the AI Tutor, which provides Q&A for Hadoop and Hive concepts, error troubleshooting, practice problem generation, HiveQL writing support, and project learning guides.

Kotlin mastery via virtual payment server course.

This is a text-based course that conducts mock interviews based on your résumé.

IntelliJ IDEA Conf 2025 is an annual online conference hosted by JetBrains that provides valuable sessions for Java and Kotlin developers. It covers various topics including AI adoption, Spring Boot, Gradle, Kafka, database management, and also shares insights on cloud integration, secure coding, developer performance improvement, and advanced development techniques. This conference is open to both professional and beginner developers, offering opportunities to explore the latest technologies along with productivity tips for writing high-quality code faster.