Description
New to Apache Kafka? This lecture explains what Kafka is and why it exists, with no prior knowledge needed.
You will see why connecting every system directly to every other system turns into spaghetti (noodle) architecture, how one central hub fixes it, what "distributed commit log" really means, why Kafka is neither a database nor a Kafka Python Course: YouTube Package, Batch 1
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traditional queue, and six real use cases: change data capture into a warehouse, real-time fraud detection, recommendations, machine learning feature pipelines, streaming RAG for AI, and log and metric aggregation.
⏱ Chapters0:00 A mid-sized company and its systems
0:29 How do systems share data?
0:54 The naive answer: connect everything
1:15 Spaghetti (noodle) architecture
2:16 The hub: every system connects to Kafka
3:15 Kafka decouples producers from consumers
3:48 So what exactly is Kafka?
4:05 A distributed commit log
5:16 Is Kafka a database? Is it a queue?
6:09 Where Kafka sits in a real architecture
7:07 What is Kafka used for?
7:30 Use case: CDC into a warehouse
7:52 Use case: real-time fraud detection
8:18 Use case: real-time recommendations
8:45 Use case: ML feature pipelines
9:13 Use case: streaming RAG, fresh knowledge for AI
9:55 Use case: log and metric aggregation
10:21 What all the use cases have in common
10:52 The real reason Kafka exists
🎓 Full video course in Python (Apache Kafka for Data & AI Engineers):
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☕ Full video course in Java (Apache Kafka for Absolute Beginners):https://www.udemy.com/course/apache-kafka-for-beginners/?referralCode=CED0E2CC52F415729306
📘 Free tutorials and e-book: https://scholarnest.in/
👤 I'm Prashant Kumar Pandey. 25 years of experience designing, developing and delivering data platforms for global enterprises.
🔗 LinkedIn: https://www.linkedin.com/in/prashant-kumar-pandey/
💻 GitHub: https://github.com/learningjournal
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