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1
Introduction
2
What is Kafka
3
Features
4
Kafka Components
5
Kafka Replication
6
Log Cleaner Policy
7
Kafka Producer
8
Acknowledgement
9
Retry
10
Compression
11
Batching
12
Consumer
13
Delivery Semantics
14
Polling
15
Auto offset reset
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Dive deep into Apache Kafka for big data applications in this comprehensive 43-minute video. Explore how to leverage Kafka for storing intermediate data and implement a publish-subscribe model. Gain in-depth knowledge of Producer, Consumer, and Topic configurations, as well as the internal workings of Kafka. Learn about Kafka's key features, components, and replication mechanisms. Understand log cleaner policies, producer acknowledgements, retry strategies, compression techniques, and batching. Delve into consumer-side concepts such as delivery semantics, polling, and auto offset reset. Master the fundamentals of Kafka to enhance your big data processing capabilities.

Deep Dive into Kafka for Big Data Applications

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