Apache Kafka. Əsasları və Data Prosesslər üçün Kafka Streams

Apache Kafka: Master Data Pipelines & Streaming Analytics

Unlock the power of Apache Kafka, the leading open-source distributed event streaming platform. Thousands of companies rely on Kafka for building high-performance data pipelines, enabling real-time streaming analytics, seamless data integration, and powering mission-critical applications.

While Kafka's official documentation is comprehensive, this course simplifies the learning process, drawing on practical experience to provide a clear understanding. We'll move beyond theory and dive into real-world problem-solving.

What you'll learn:

• Consumer Groups: Understand the inner workings of Consumer Groups and optimize your Kafka consumption strategy.
• Custom Partitioners: Learn to create custom partitioners to achieve higher performance and better data distribution.
• Message Semantics: Gain a deep understanding of message delivery semantics, crucial for building reliable data streams. We'll address the critical challenges of avoiding message duplicates and preventing data loss in stream processing.
• Kafka Fundamentals & Kafka Streaming: This course combines the core concepts of Kafka with the powerful capabilities of Kafka Streaming, typically taught as separate topics.
• Kafka Streams API: Master the Kafka Streams API for building real-time data processing applications.
• KStream & Statefulness: Explore KStream examples and learn how to work with both stateless and stateful operations.
• Terminal & Intermediate Streams: Understand the difference between terminal and intermediate stream functions and effectively utilize state within your streams.
• KTable & GlobalKTable: Differentiate between KTable and KStream, and learn when to use KTable for efficient data manipulation. We'll also cover GlobalKTable for managing global state.
• Partitioning & Data Filtering: Learn how to effectively utilize partitions for scalability and implement real-time data filtering on large datasets.
• Transaction-Based Streams: Explore a practical example of a transaction-based stream application for ensuring data consistency.

This course is designed for developers and data engineers looking to leverage Kafka for building robust and scalable real-time data solutions. You'll gain the skills to build efficient data pipelines, perform powerful streaming analytics, and create reliable data integration systems.