Скачать или смотреть How Netflix, Banks & Uber Process Data Instantly (Apache Kafka Explained)

Why does your pizza delivery update in real time, but a bank transfer sometimes feels painfully slow?

The answer isn’t the internet — it’s how data is processed.

In this video, we break down Apache Kafka from first principles and explain:
• Why batch processing failed in a real-time world
• How Kafka was born at LinkedIn to handle massive data scale
• Producers, brokers, consumers — explained simply
• Topics, partitions, offsets, and why they matter
• How Kafka processes millions of events per second
• Why Kafka is fast, scalable, and nearly impossible to break
• Where Kafka is used in the real world (fraud detection, analytics, IoT, logs)
• Why Kafka became the industry standard for real-time data

This video is perfect for:
✔️ Software engineers
✔️ Backend developers
✔️ Data engineers
✔️ Computer science students
✔️ Anyone curious how real-time systems actually work

By the end, you’ll understand not just WHAT Kafka is — but WHY it dominates modern data infrastructure.

If you enjoy deep but simple explanations of complex tech, make sure to subscribe.

⏱️ Chapters:
00:00 Why real-time matters
00:31 Batch vs real-time processing
01:17 Why Kafka was created
01:53 Kafka explained simply
02:22 Core Kafka components
03:33 Partitions & scalability
04:27 Why Kafka dominates
05:34 Real-world use cases
06:38 The future of real-time systems

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