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Урок 1. 00:01:13Welcome to This Course
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Урок 2. 00:04:17Course Structure
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Урок 3. 00:00:36Download Source Code & Scripts
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Урок 4. 00:05:57Tips : How To Get Maximum Value From This Course
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Урок 5. 00:06:31Messaging System
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Урок 6. 00:06:33Kafka Introduction
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Урок 7. 00:07:15Java & Spring
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Урок 8. 00:00:46Download Java
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Урок 9. 00:01:21Install Java
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Урок 10. 00:00:34Kafka Installation for This Course
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Урок 11. 00:03:11Docker Introduction
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Урок 12. 00:05:49Install Kafka Docker
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Урок 13. 00:00:20Download Eclipse
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Урок 14. 00:01:07Install Eclipse
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Урок 15. 00:00:26Kafka Basic Concepts
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Урок 16. 00:02:00Kafka Analogy
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Урок 17. 00:07:07Topic, Partition & Offset
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Урок 18. 00:04:10Producer
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Урок 19. 00:05:13Consumer & Consumer Group
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Урок 20. 00:02:59Consumer Offset & Delivery Semantic
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Урок 21. 00:00:57Zookeeper
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Урок 22. 00:07:17Spring Boot
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Урок 23. 00:04:08Hello Kafka - Topic & Partition
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Урок 24. 00:07:42Hello Kafka - Java Spring Code
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Урок 25. 00:08:17Consumer is Real Time Indeed
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Урок 26. 00:03:56"Fixing" Consumer
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Урок 27. 00:06:37Producing Message With Key
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Урок 28. 00:11:27Multiple Consumers for Each Topic
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Урок 29. 00:02:14Why JSON?
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Урок 30. 00:06:56Producing JSON Message
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Урок 31. 00:03:07Customize JSON Format
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Урок 32. 00:04:07Consuming JSON Message
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Урок 33. 00:18:04Consuming with Consumer Groups - Create Producer
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Урок 34. 00:07:37Consuming with Consumer Groups - Create Consumer
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Урок 35. 00:06:02Rebalancing
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Урок 36. 00:05:55Kafka Configuration
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Урок 37. 00:19:30Message Filter
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Урок 38. 00:15:31Idempotency
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Урок 39. 00:11:18Idempotency Alternative
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Урок 40. 00:12:31KafkaListener Error Handler
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Урок 41. 00:13:48Global Error Handler
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Урок 42. 00:14:46Retrying Consumer
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Урок 43. 00:14:58Dead Letter Topic
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Урок 44. 00:05:22Non Blocking Retry
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Урок 45. 00:09:15Scheduling Consumer
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Урок 46. 00:05:48Rabbitmq vs Kafka
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Урок 47. 00:04:18What We Will Build
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Урок 48. 00:06:45Organizing Source Code
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Урок 49. 00:07:37Setting Up The Projects
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Урок 50. 00:01:37Automatic Create Topics From Code
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Урок 51. 00:05:01Order App - Database
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Урок 52. 00:04:19Order App - Kafka Producer
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Урок 53. 00:04:33Handle Kafka Publish Result - Kafka Producer Callback
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Урок 54. 00:21:43Order App - API & Finalize App
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Урок 55. 00:02:28Order App - Test the App
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Урок 56. 00:03:23Pattern App - Kafka Consumer
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Урок 57. 00:08:33Order App - Promotion Publisher
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Урок 58. 00:01:17Order App - Discount Publisher
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Урок 59. 00:03:01Storage App - Kafka Consumer
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Урок 60. 00:04:12Order App - Add Header To Kafka Message
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Урок 61. 00:06:19Reward App - Kafka Consumer
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Урок 62. 00:06:16Request - Reply in Kafka
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Урок 63. 00:02:32Introducing Kafka Stream
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Урок 64. 00:06:20Stream Processing
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Урок 65. 00:02:56Kafka Stream Concept
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Урок 66. 00:02:41Prepare For Kafka Stream
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Урок 67. 00:00:48Notes for Windows User
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Урок 68. 00:12:09Hello Kafka Stream
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Урок 69. 00:05:40String Serde
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Урок 70. 00:04:41Spring JSON Serde
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Урок 71. 00:08:32Custom JSON Serde
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Урок 72. 00:02:31Stream & Table
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Урок 73. 00:01:32Log Compaction
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Урок 74. 00:08:57Kafka Stream Operations (Stateless)
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Урок 75. 00:01:30Kafka Stream Topology
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Урок 76. 00:07:41First Step
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Урок 77. 00:13:07Sink Processors
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Урок 78. 00:07:47Additional Requirements
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Урок 79. 00:03:43Branching Alternative
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Урок 80. 00:02:24Newer Branch Syntax
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Урок 81. 00:02:39Reward Each Location
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Урок 82. 00:03:54Calling API or Other Process
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Урок 83. 00:03:15Further Fraud Processing
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Урок 84. 00:06:32Are We Good Enough?
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Урок 85. 00:02:17Who Owns This Feedback?
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Урок 86. 00:07:57Good Feedback or Bad Feedback?
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Урок 87. 00:02:42Group Using Table
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Урок 88. 00:01:04Delay on Table
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Урок 89. 00:06:08Send and Continue
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Урок 90. 00:02:59Overall Good (or Bad)
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Урок 91. 00:05:11Web & Mobile
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Урок 92. 00:13:43Cart & Wishlist
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Урок 93. 00:09:30Most Recent Data Feed
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Урок 94. 00:02:05Stream & State
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Урок 95. 00:02:13Kafka Stream Stateful Operations
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Урок 96. 00:08:02Timestamp
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Урок 97. 00:15:30Average Rating
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Урок 98. 00:11:15Detailed Rating
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Урок 99. 00:07:40Summing Records
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Урок 100. 00:01:31Subtracting Value
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Урок 101. 00:01:06Using Reduce
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Урок 102. 00:06:31Timestamp Extractor
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Урок 103. 00:02:36Windowing
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Урок 104. 00:05:08Tumbling Time Window
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Урок 105. 00:01:58Hopping Time Window
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Урок 106. 00:04:02Join - Theory
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Урок 107. 00:05:52Join - Stream / Stream
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Урок 108. 00:12:08Inner Join - Stream / Stream
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Урок 109. 00:01:27Left Join - Stream / Stream
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Урок 110. 00:01:20Outer Join - Stream / Stream
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Урок 111. 00:13:00Inner Join - Table / Table
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Урок 112. 00:01:57Left Join - Table / Table
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Урок 113. 00:01:19Outer Join - Table / Table
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Урок 114. 00:01:42Stream to Table
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Урок 115. 00:11:25Inner Join - Stream / Table
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Урок 116. 00:02:51Left Join - Stream / Table
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Урок 117. 00:08:30Stream / Global Table Join - Part 1
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Урок 118. 00:07:12Stream / Table Co-Partition
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Урок 119. 00:01:41Stream / Global Table Join - Part 2
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Урок 120. 00:04:12Exactly Once Semantic
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Урок 121. 00:01:43Enabling Exactly Once
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Урок 122. 00:04:49Message In, Message Out
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Урок 123. 00:08:46Introducing Kafka Connect
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Урок 124. 00:03:31Kafka Connect on Docker
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Урок 125. 00:02:28Sample Use Cases
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Урок 126. 00:09:27File Source
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Урок 127. 00:06:30Database Sink
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Урок 128. 00:04:13SFTP Sink
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Урок 129. 00:04:40Change Data Capture
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Урок 130. 00:13:48CDC PostgreSQL Connector
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Урок 131. 00:03:14PostgreSQL Sink Connector
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Урок 132. 00:15:35Marketing Consumer
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Урок 133. 00:02:33It’s not A One-Stop-Solution
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Урок 134. 00:03:43Database Source
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Урок 135. 00:02:51HTTP Source
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Урок 136. 00:07:35Custom Source
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Урок 137. 00:03:29Elasticsearch Sink
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Урок 138. 00:02:29Data Format Differences
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Урок 139. 00:05:31Code Overview
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Урок 140. 00:26:20Code Hands on
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Урок 141. 00:02:06Tip : Override Converter
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Урок 142. 00:03:29Elasticsearch Sink
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Урок 143. 00:01:13Kafka User Interface
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Урок 144. 00:10:46Sneak Peek on Conduktor
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Урок 145. 00:01:28What We Will Learn
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Урок 146. 00:01:00Setup More Kafka Stack
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Урок 147. 00:04:00JSON Drawback
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Урок 148. 00:02:27Tip : Binary Data
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Урок 149. 00:02:30Tip : Large Message
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Урок 150. 00:03:04The Need for Schema
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Урок 151. 00:02:59Schema Registry
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Урок 152. 00:06:46What Is Avro
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Урок 153. 00:09:17Avro Theory
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Урок 154. 00:08:53Hello Avro
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Урок 155. 00:05:05Generic Avro
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Урок 156. 00:15:10Specific Avro
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Урок 157. 00:08:21Avro From Existing
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Урок 158. 00:03:19Nested Record
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Урок 159. 00:04:16From JSON to Avro
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Урок 160. 00:02:14Avro Tool
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Урок 161. 00:09:34What is Schema Evolution
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Урок 162. 00:06:05Schema Evolution - Hands On
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Урок 163. 00:03:04What is Schema Registry
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Урок 164. 00:00:59Schema Registry - User Interface
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Урок 165. 00:02:04Schema Registry - Hands On
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Урок 166. 00:04:04Getting Started
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Урок 167. 00:05:10Avro Producer 1
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Урок 168. 00:02:09Avro Consumer 1
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Урок 169. 00:04:31Avro Producer & Consumer 2
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Урок 170. 00:13:22Kafka Stream
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Урок 171. 00:06:38Backward Compatible Hands On
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Урок 172. 00:05:27Forward Compatible Hands On
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Урок 173. 00:01:57Full Compatible & Tips
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Урок 174. 00:01:41Quick Look on Schema Reqistry API
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Урок 175. 00:02:24Overview
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Урок 176. 00:04:19Source Connector & Consumer
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Урок 177. 00:03:17Producer
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Урок 178. 00:01:06Sink Connector
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Урок 179. 00:03:19What Is Kafka REST Proxy
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Урок 180. 00:01:41Cluster & Broker
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Урок 181. 00:00:50Topic
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Урок 182. 00:01:38Produce Binary
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Урок 183. 00:02:15Consume Binary
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Урок 184. 00:01:05Produce & Consume JSON
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Урок 185. 00:01:08Produce & Consume Avro
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Урок 186. 00:07:15Introduction to ksqlDB
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Урок 187. 00:01:14Interact With ksqlDB
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Урок 188. 00:00:46ksqlDB Syntax Reference
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Урок 189. 00:03:00Use Cases
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Урок 190. 00:08:25Hello ksqlDB
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Урок 191. 00:01:47Basic ksqlDB Stream
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Урок 192. 00:24:29Data Types
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Урок 193. 00:08:34Stream & Table Key
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Урок 194. 00:03:51First Step
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Урок 195. 00:00:55Row Key Alternative
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Урок 196. 00:03:11Additional Requirements
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Урок 197. 00:01:23Reward Each Location
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Урок 198. 00:01:40Run Script File
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Урок 199. 00:01:22Calling API or Other Process
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Урок 200. 00:01:00Further Fraud Processing
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Урок 201. 00:00:45KsqlDB REST API
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Урок 202. 00:04:00Are We Good Enough?
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Урок 203. 00:00:36Who Owns This Feedback?
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Урок 204. 00:00:36Good Feedback or Bad Feedback?
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Урок 205. 00:02:36Group Using Table
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Урок 206. 00:00:21Send and Continue
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Урок 207. 00:01:29Overall Good (or Bad)
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Урок 208. 00:04:58Insert Data Using KsqlDB
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Урок 209. 00:02:31Web & Mobile
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Урок 210. 00:06:12Cart & Wishlist
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Урок 211. 00:01:54Pull Query
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Урок 212. 00:01:59Most Recent Data Feed
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Урок 213. 00:01:40Timestamp
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Урок 214. 00:00:49Average Rating
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Урок 215. 00:00:47Detailed Rating
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Урок 216. 00:01:14Summing Records / Subtracting Value
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Урок 217. 00:01:52Timestamp Extractor
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Урок 218. 00:01:49Tumbling Time Window
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Урок 219. 00:01:22Hopping Time Window
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Урок 220. 00:01:37Inner Join Stream / Stream
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Урок 221. 00:01:23Left Join Stream / Stream
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Урок 222. 00:01:42Outer Join Stream / Stream
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Урок 223. 00:02:01Inner Join Table / Table
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Урок 224. 00:01:17Left Join Table / Table
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Урок 225. 00:01:15Outer Join Table / Table
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Урок 226. 00:01:23Inner Join Stream / Table
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Урок 227. 00:01:02Left Join Stream / Table
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Урок 228. 00:02:29Stream / Table Co-Partition
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Урок 229. 00:00:26Enabling Exactly Once
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Урок 230. 00:11:23User Defined Function (UDF)
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Урок 231. 00:09:10User Defined Tabular Function (UDTF)
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Урок 232. 00:09:17User Defined Aggregation Function (UDAF)
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Урок 233. 00:00:55ksqlDB & Schema Registry
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Урок 234. 00:01:36Avro on ksqlDB
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Урок 235. 00:01:33Writing Avro Schema
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Урок 236. 00:01:44Avro-Json Conversion
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Урок 237. 00:01:40KsqlDB & Kafka Connect
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Урок 238. 00:21:02KsqlDB Java Client
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Урок 239. 00:03:51Course Wrap Up
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