Description
Master Apache Kafka: Data Engineering & Real-Time Projects is a course on how to build real-time data pipelines and event-driven applications using Apache Kafka, published by Udemy Online Academy. Suitable for data engineers, backend developers, software engineers, and aspiring streaming data professionals, this course covers the basics of Kafka and moves on to practical data engineering and real-time processing workflows. Apache Kafka has become the backbone of modern data platforms, enabling the creation of real-time data pipelines, event-driven architectures, and large-scale streaming systems. From data ingestion and transformation to streaming processing and analytics, Kafka plays a critical role in how data moves through today’s engineering ecosystems.
You will explore individuals, brokers, topics, partitions, producers, consumers, consumer groups, replication, fault tolerance, stream processing, data integration, and monitoring Kafka. This is not a superficial tutorial or a collection of isolated demos. This is a structured, production-focused Kafka course that takes you from fundamental concepts to advanced operational and architectural topics. You will learn Kafka from the very basics, starting with event-driven architecture and streaming principles, and then gradually build a strong mental model of how Kafka works internally. Each concept is clearly explained, demonstrated in action, and related to how Kafka behaves in real-world data engineering pipelines. This approach will help you develop your intuition and confidence when working with Kafka in a production environment.
What you will learn in Master Apache Kafka: Data Engineering & Real-Time Projects:
- Master producers, consumers, and consumer groups with correct mental models.
- Design Kafka topics using proper partitioning and ordering strategies.
- Manage offsets, replay data safely, and understand delivery semantics.
- Use Kafka CLI tools for debugging, monitoring, and operational tasks.
- Implement reliability features such as idempotent producers and consumer commits.
- Work with Kafka Streams and Kafka Connect for real-world data pipelines.
- Monitor Kafka clusters and accurately interpret consumer lag.
- Design, scale, and operate Kafka in production data engineering environments.
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Course specifications
Publisher: Udemy
Instructors: EduVerse Academy
Language: English
Level: Introductory to Advanced
Number of Lessons: 30
Duration: 12h 34m
Course topics
Master Apache Kafka: Data Engineering & Real-Time Projects Prerequisites
Basic understanding of programming concepts is helpful but not mandatory.
Familiarity with backend systems or data workflows is recommended.
No prior Apache Kafka experience is required.
Basic knowledge of databases or messaging systems is a plus.
Curiosity to understand how real production systems work.
Pictures
Master Apache Kafka: Data Engineering & Real-Time Projects introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
12.5 GB