Kafka Streams with Spring Cloud

Kafka Streams with Spring Cloud

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Kafka Streams using Spring Cloud | Learn Apache Kafka for Spring Boot Developers

1 of 49

1 of 49

Kafka Streams using Spring Cloud | Learn Apache Kafka for Spring Boot Developers

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Kafka Streams with Spring Cloud

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  1. 1 Kafka Streams using Spring Cloud | Learn Apache Kafka for Spring Boot Developers
  2. 2 Kafka Streams using Spring Cloud Streams | Who should learn take course | Course Prerequisite
  3. 3 Installing and Running Spring Kafka | Spring Kafka Development Environment
  4. 4 Kafka Spring Boot Starter Project | Initializing Spring Kafka Project | Kafka Project in Gradle
  5. 5 Installing Confluent Kafka on Windows | Setup Kafka cluster in WSL2 | Windows sub system for Linux
  6. 6 Kafka Streams Project | Creating and Running Kafka Streams using Spring Cloud on windows machine
  7. 7 Installing Kafka on Mac | Confluent Kafka on Mac | Setup your Kafka Development Environment on Mac
  8. 8 Creating Kafka Streams project on Mac | Kafka Streams using Spring Cloud Streams on Mac machine
  9. 9 Kafka Support in Spring | Spring Boot Vs Spring Cloud Vs Spring Cloud Stream Vs Spring Kafka Streams
  10. 10 Spring Cloud Architecture | Introduction to Spring Cloud Streams for real-time stream processing
  11. 11 How Kafka Streams work in Spring Cloud | What is Kafka Streams | Kafka Streams Vs Spring Cloud
  12. 12 Simple RESTful Kafka Producer
  13. 13 Creating Retail POS Simulator
  14. 14 Producing JSON Messages
  15. 15 Producing AVRO Messages
  16. 16 Real time Stream Processing Requirement
  17. 17 Implementing POS Fanout JSON to Avro
  18. 18 Real life Serialization Scenarios
  19. 19 Processing AVRO message Stream
  20. 20 Understanding Record Serialization
  21. 21 Overview of KStream Methods
  22. 22 Kafka Streams Exactly Once Implementation
  23. 23 Implementing Exactly Once
  24. 24 Let's Practice - A Complex Problem Statement
  25. 25 Working with XML Inputs
  26. 26 Handling Errors and Exceptions
  27. 27 Mixed Branching of a KStream
  28. 28 Handling Poison Pills
  29. 29 Introducing KTable
  30. 30 Deep Dive into KTable
  31. 31 Computing Streaming Aggregates
  32. 32 Aggregation Concepts
  33. 33 Reducing A Kafka Stream
  34. 34 Aggregating a Kafka Stream
  35. 35 Aggregation Challenges
  36. 36 KTable Aggregation
  37. 37 Kafka Time Semantics
  38. 38 Windowing Aggregates
  39. 39 Tumbling Window Vs Hopping Time Window
  40. 40 Session Window and Grace Period
  41. 41 Joins in Kafka Stream
  42. 42 KStream to KStream Joins
  43. 43 KTable to KTable Join
  44. 44 KStream to KTable Join
  45. 45 Implementing Complex Aggregation
  46. 46 Super Simple Stream Listener
  47. 47 Unit Testing Stream Listeners
  48. 48 Converting Stream Listener to Functional Style
  49. 49 Epilog

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