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

[Practical Node NestJS Course — Let’s Develop a Service Together!!] Learn Redis and Kafka with Nest, and you’ll be able to do it! Prisma is now absolutely essential in real-world development.

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.

Through in-depth theoretical explanations of Kafka Connect and detailed practical training that can be used immediately in the field, we will help you grow into an expert in building data linkage and data pipelines based on Kafka Connect that are needed in the field.

Beginner's Kafka & Spark Real-time Pipeline Course. All-in-one: Master concepts to architecture.

I have created an 'Introduction to MSA' course that is easy for non-majors to understand and can be applied immediately in practice!

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 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.

Kotlin mastery via virtual payment server course.

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.

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.

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