Oreilly – Kafka in Action, Video Edition 2022-2

Kafka in Action Video Edition course. This video tutorial presents the book “Kafka in Action” with voice-over and on-screen content, figures, code listings, diagrams, and text. This course is like an audio book that you can also watch as a video.

Part 1: Getting started

• Chapter 1: Introduction to Kafka
• Chapter 2: Introduction to Kafka

Part 2: Application of Kafka

• Chapter 3: Designing a Kafka project
• Chapter 4: Producers: Data preparation
• Chapter 5: Consumers: Unlocking Data

Part 3: Further development

• Chapter 10: Securing Kafka

What you will learn

• Understanding the main concepts of Apache Kafka
• Set up and run basic transport, transform and load (ETL) jobs using Kafka Connect
• Using Kafka as part of a big data project team
• Performing management tasks
• Production and consumption of event streams
• Working with Kafka from Java programs
• Implementing Kafka as a message queue

This course is suitable for people who

• Intermediate level students with Java programming skills or data engineers.
• No prior knowledge of Kafka is necessary.

Specifications of the Kafka in Action Video Edition course

• Publisher: Oreilly
• Instructor: Viktor Gamov , Dylan Scott, Dave Klein
• Training level: beginner to advanced
• Training duration: 7 hours 15 minutes

Course headings

• Part 1. Getting started
• Chapter 1. Introduction to Kafka
• Chapter 1. Kafka usage
• Chapter 1. Kafka myths
• Chapter 1. Kafka in the real world
• Chapter 1. Online resources to get started
• Chapter 1. Summary
• Chapter 2. Getting to know Kafka
• Chapter 2. What are brokers?
• Chapter 2. Tour of Kafka
• Chapter 2. Various source code packages and what they do
• Chapter 2. Confluent clients
• Chapter 2. Stream processing and terminology
• Chapter 2. Summary
• Part 2. Applying Kafka
• Chapter 3. Designing a Kafka project
• Chapter 3. Sensor event design
• Chapter 3. Format of your data
• Chapter 3. Summary
• Chapter 4. Producers: Sourcing data
• Chapter 4. Producer options
• Chapter 4. Generating code for our requirements
• Chapter 4. Summary
• Chapter 5. Consumers: Unlocking data
• Chapter 5. How consumers interact
• Chapter 5. Tracking
• Chapter 5. Marking our place
• Chapter 5. Reading from a compacted topic
• Chapter 5. Retrieving code for our factory requirements
• Chapter 6. Summary
• Chapter 6. Brokers
• Chapter 6. Role of ZooKeeper
• Chapter 6. Options at the broker level
• Chapter 6. Partition replica leaders and their role
• Chapter 6. Peeking into Kafka
• Chapter 6. A note on stateful systems
• Chapter 6. Exercise
• Chapter 6. Summary
• Chapter 7. Topics and partitions
• Chapter 7. Partitions
• Chapter 7. Testing with EmbeddedKafkaCluster
• Chapter 7. Topic compaction
• Chapter 7. Summary
• Chapter 8. Kafka storage
• Chapter 8. Data movement
• Chapter 8. Tools
• Chapter 8. Bringing data back into Kafka
• Chapter 8. Architectures with Kafka
• Chapter 8. Multiple cluster setups
• Chapter 8. Cloud- and container-based storage options
• Chapter 8. Summary
• Chapter 9. Management: Tools and logging
• Chapter 9. Running Kafka as a systemd service
• Chapter 9. Logging
• Chapter 9. Firewalls
• Chapter 9. Metrics
• Chapter 9. Tracing option
• Chapter 9. General monitoring tools
• Chapter 9. Summary
• Part 3. Going further
• Chapter 10. Protecting Kafka
• Chapter 10. Kerberos and the Simple Authentication and Security Layer (SASL)
• Chapter 10. Authorization in Kafka
• Chapter 10. ZooKeeper
• Chapter 10. Quotas
• Chapter 10. Data at rest
• Chapter 10. Summary
• Chapter 11. Schema registry
• Chapter 11. The Schema Registry
• Chapter 11. Schema features
• Chapter 11. Compatibility rules
• Chapter 11. Alternative to a schema registry
• Chapter 11. Summary
• Chapter 12. Stream processing with Kafka Streams and ksqlDB
• Chapter 12. ksqlDB: An event-streaming database
• Chapter 12. Going further
• Chapter 12. Summary
• Appendix A. Installation
• Appendix A. Kafka versions
• Appendix A. Installing Kafka on your local machine
• Appendix A. Confluent Platform
• Appendix A. How to work with the book examples
• Appendix A. Troubleshooting
• Appendix B. Client example
• Appendix B. Client testing

Kafka in Action Video Edition course images

Sample video of the course

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