| 0 | 103.5 KB | ||
| 1. Getting started with Apache Kafka.mp4 | 3.4 MB | ||
| 10. Kafka brokers.mp4 | 3.6 MB | ||
| 11. Logs in Kafka.mp4 | 2.7 MB | ||
| 12. Producers and consumers.mp4 | 6.6 MB | ||
| 13. Role of ZooKeeper.mp4 | 2.7 MB | ||
| 14. Kafka client scripts.mp4 | 5.7 MB | ||
| 15. Creating a topic.mp4 | 5.2 MB | ||
| 16. Exploring topics.mp4 | 3.1 MB | ||
| 17. Publishing messages to topics.mp4 | 6.5 MB | ||
| 18. Using console consumer.mp4 | 5.5 MB | ||
| 19. Topics management.mp4 | 2.2 MB | ||
| 2. Message queues.mp4 | 5.2 MB | ||
| 20. Kafka setup.mp4 | 20.9 MB | ||
| 21. Intro to partitions.mp4 | 5.2 MB | ||
| 22. Creating topics with partitions.mp4 | 3.8 MB | ||
| 23. Publishing with keys.mp4 | 5.7 MB | ||
| 24. Consumer groups.mp4 | 5.5 MB | ||
| 25. Consumer offset management.mp4 | 6.8 MB | ||
| 26. Consuming partitioned data.mp4 | 14.4 MB | ||
| 27. Kafka client libraries.mp4 | 3.2 MB | ||
| 28. Creating a producer in Java.mp4 | 7.3 MB | ||
| 29. Publishing messages in Java.mp4 | 3.2 MB | ||
| 3. What is Kafka-.mp4 | 3.6 MB | ||
| 30. Creating a consumer in Java.mp4 | 8.5 MB | ||
| 31. Consuming messages in Java.mp4 | 6.7 MB | ||
| 32. Kafka basics use case- Problem definition.mp4 | 1.6 MB | ||
| 33. Setting up topics.mp4 | 2.2 MB | ||
| 34. Producing and consuming data with scripts.mp4 | 2.2 MB | ||
| 35. Producing and consuming data with Java.mp4 | 5.3 MB | ||
| 36. Next steps.mp4 | 1.5 MB | ||
| 4. Benefits of Kafka.mp4 | 3.7 MB | ||
| 5. Kafka use cases.mp4 | 3.1 MB | ||
| 6. Setting up the exercise files.mp4 | 5.7 MB | ||
| 7. Setting up Kafka.mp4 | 10.4 MB | ||
| 8. Messages.mp4 | 5.4 MB | ||
| 9. Topics.mp4 | 3.5 MB | ||
| Ex_Files_Apache_Kafka.zip | 13.2 KB | ||
| TutsNode.com.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
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Description
One of the key components of a big data processing pipeline is a scalable and distributed message queue. Message queues enable real-time streaming capabilities with multiple producers and consumers of data. This enables real-time applications that can analyze data and produce insights in a scalable fashion. Apache Kafka provides these capabilities. As the de facto standard for open-source messaging, Apache Kafka is an essential skill for data scientists, big data engineers, data architects, and solution architects. In this course, instructor Kumaran Ponnambalam introduces Apache Kafka and explains its fundamental concepts and basic operations. Kumaran covers basic concepts like messages, topics, logs, and more. He shows you how to use the Kafka command line, as well as partitions and groups. He goes over Kafka Java programming, then concludes with a use case project.
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Linkedin - Linux System Engineer - Web Servers and DNS Using Apache, NGINX, and BIND Posted by
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