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This course is about the learning process of apache kafka which is designed to handle data streams from multiple sources and deliver them to multiple consumers.
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Unlimited Duration
Last Updated
March 3, 2021
Students Enrolled
20
Total Reviews
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Certification
Apache Kafka is a popular tool for developers because it is easy to pick up and provides a powerful event streaming platform. The world is filled with many events, Kafka gives us resources to organize them and keep them in order. Kafka gives you peace of mind knowing your data is always fault-tolerant, replayable, and coincident which helps you quickly build by providing an effective platform to process, store, and connect your apps and systems with real-time data.
It is designed to handle data streams from multiple sources and deliver them to different consumers.
Kafka provides three important functions to its users:
- Process streams of records in real-time
- Perfectly store streams of records in the order in which records were generated
- Publish and subscribe to streams of records
Course Curriculum
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- What is Kafka? 00:00:00
- Why Kafka? 00:00:00
- Kafka Use cases 00:00:00
- Kafka Integration 00:00:00
- Kafka Components 00:00:00
- Kafka Architecture 00:00:00
- Kafka versions 00:00:00
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- Kafka APIs 00:00:00
- Kafka CLI 00:00:00
- Installing Kafka 00:00:00
- Installing Zookeeper 00:00:00
- Labs 00:00:00
- Introduction 00:00:00
- Building a Producer 00:00:00
- Producer Configuration 00:00:00
- Partition 00:00:00
- Serialization 00:00:00
- Labs 00:00:00
- Introduction 00:00:00
- Replication 00:00:00
- Processing requests 00:00:00
- Storage in Kafka 00:00:00
- Labs 00:00:00
- Introduction 00:00:00
- Topic Operations 00:00:00
- Consumer Groups 00:00:00
- Replications 00:00:00
- Partitions 00:00:00
- Configuration Management 00:00:00
- Consumer Operations 00:00:00
- Producer Operations 00:00:00
- Best Practices 00:00:00
- Labs 00:00:00
- Intro to Kafka Connect 00:00:00
- Running Kafka Connect 00:00:00
- Configurations 00:00:00
- Labs 00:00:00
- Problem Statement 00:00:00
- Use case 00:00:00
- Labs 00:00:00
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