Видео курса

  • Урок 1. 00:04:48
    What is Kafka Streams?
  • Урок 2. 00:04:12
    Course Objective / Prerequisites / Target Students
  • Урок 3. 00:00:56
    About your Instructor: Stephane Maarek
  • Урок 4. 00:12:53
    Running your first Kafka Streams Application: WordCount
  • Урок 5. 00:03:02
    Kafka Streams vs other stream processing libraries (Spark Streaming, NiFI, Flink
  • Урок 6. 00:01:46
    Section Objective
  • Урок 7. 00:03:29
    Kafka Streams Core Concepts
  • Урок 8. 00:04:04
    Environment and IDE Setup: Java 8, Maven, IntelliJ IDEA
  • Урок 9. 00:07:58
    Starter Project Setup
  • Урок 10. 00:07:26
    Kafka Streams Application Properties
  • Урок 11. 00:02:56
    Java 8 Lambda Functions - quick overview
  • Урок 12. 00:14:09
    Word Count Application Topology
  • Урок 13. 00:01:34
    Printing the Kafka Streams Topology
  • Урок 14. 00:02:04
    Kafka Streams Graceful Shutdown
  • Урок 15. 00:09:23
    Running Application from IntelliJ IDEA
  • Урок 16. 00:04:07
    Debugging Application from IntelliJ IDEA
  • Урок 17. 00:03:48
    Internal Topics for our Kafka Streams Application
  • Урок 18. 00:04:35
    Packaging the application as Fat Jar & Running the Fat Jar
  • Урок 19. 00:04:00
    Scaling our Application
  • Урок 20. 00:01:41
    Section Wrap-Up
  • Урок 21. 00:01:15
    Section Objectives
  • Урок 22. 00:03:40
    KStream & KTables
  • Урок 23. 00:01:42
    Stateless vs Stateful Operations
  • Урок 24. 00:01:36
    MapValues / Map
  • Урок 25. 00:01:23
    Filter / FilterNot
  • Урок 26. 00:02:11
    FlatMapValues / FlatMap
  • Урок 27. 00:02:46
    Branch
  • Урок 28. 00:01:15
    SelectKey
  • Урок 29. 00:02:17
    Reading from Kafka
  • Урок 30. 00:01:53
    Writing to Kafka
  • Урок 31. 00:02:53
    Streams Marked for Re-Partition
  • Урок 32. 00:17:46
    Refresher on Log Compaction
  • Урок 33. 00:02:21
    KStream and KTables Duality
  • Урок 34. 00:00:42
    Transforming a KTable to a KStream
  • Урок 35. 00:01:25
    Transforming a KStream to a KTable
  • Урок 36. 00:00:48
    Section Summary
  • Урок 37. 00:03:21
    FavouriteColour - Practice Exercise Description & Guidance
  • Урок 38. 00:02:41
    Stuck? Here are some Hints!
  • Урок 39. 00:08:34
    Java Solution
  • Урок 40. 00:05:47
    Running the application
  • Урок 41. 00:06:21
    Scala Solution
  • Урок 42. 00:01:01
    Section Objective
  • Урок 43. 00:01:47
    KTable groupBy
  • Урок 44. 00:02:06
    KGroupedStream / KGroupedTable Count
  • Урок 45. 00:04:13
    KGroupedStream / KGroupedTable Aggregate
  • Урок 46. 00:01:41
    KGroupedStream / KGroupedTable Reduce
  • Урок 47. 00:02:09
    KStream peek
  • Урок 48. 00:01:13
    KStream Transform / TransformValues
  • Урок 49. 00:01:41
    What if I want to write to an external System?
  • Урок 50. 00:01:04
    Summary Diagram
  • Урок 51. 00:06:08
    What's Exactly Once?
  • Урок 52. 00:02:42
    Exactly Once in Kafka 0.11
  • Урок 53. 00:01:30
    What's the problem with at least once anyway?
  • Урок 54. 00:02:05
    How to do exactly once in Kafka Streams
  • Урок 55. 00:02:16
    BankBalance - Exercise Overview
  • Урок 56. 00:01:42
    Kafka Producer Guidance
  • Урок 57. 00:14:18
    Kafka Producer Solution
  • Урок 58. 00:01:56
    Kafka Streams Guidance & Hints
  • Урок 59. 00:09:13
    Kafka Streams Solution
  • Урок 60. 00:04:43
    Running the BankBalance Application
  • Урок 61. 00:00:57
    Section Summary
  • Урок 62. 00:02:50
    What are joins in Kafka Streams?
  • Урок 63. 00:02:54
    Join Constraints and GlobalKTables
  • Урок 64. 00:02:46
    The different types of joins: Inner Join, Left Join, Outer Join
  • Урок 65. 00:12:34
    Creating a join with UserEnrich Kafka Streams App
  • Урок 66. 00:05:08
    Running the Kafka Streams Join application
  • Урок 67. 00:04:03
    Testing in Kafka Streams
  • Урок 68. 00:03:59
    Setup your Kafka Streams project
  • Урок 69. 00:14:29
    Hands-On: Test your WordCount application
  • Урок 70. 00:02:33
    Congratulations and next steps
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