Kafka Streams in Action, Second Edition, Video Edition
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14:11:46
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001. Part 1.mp4
01:12
002. Part 1.mp4
01:12
003. Chapter 1. Welcome to the Kafka event streaming platform.mp4
07:51
004. Chapter 1. What is an event.mp4
01:46
005. Chapter 1. An event stream example.mp4
02:11
006. Chapter 1. Introducing the Apache Kafka event streaming platform.mp4
06:56
007. Chapter 1. A concrete example of applying the Kafka event streaming platform.mp4
05:22
008. Chapter 1. Summary.mp4
02:01
009. Chapter 2. Kafka brokers.mp4
02:48
010. Chapter 2. Produce requests.mp4
01:43
011. Chapter 2. Fetch requests.mp4
01:56
012. Chapter 2. Topics and partitions.mp4
09:41
013. Chapter 2. Sending your first messages.mp4
07:40
014. Chapter 2. Segments.mp4
11:47
015. Chapter 2. Tiered storage.mp4
03:41
016. Chapter 2. Cluster metadata.mp4
02:14
017. Chapter 2. Leaders and followers.mp4
07:38
018. Chapter 2. Checking for a healthy broker.mp4
03:32
019. Chapter 2. Summary.mp4
00:45
020. Part 2.mp4
01:48
021. Chapter 3. Schema Registry.mp4
04:07
022. Chapter 3. What is a schema, and why do you need one.mp4
37:23
023. Chapter 3. Subject name strategies.mp4
10:38
024. Chapter 3. Schema compatibility.mp4
06:07
025. Chapter 3. Schema references.mp4
05:52
026. Chapter 3. Schema references and multiple events per topic.mp4
07:04
027. Chapter 3. Schema Registry (de)serializers.mp4
07:17
028. Chapter 3. Serialization without Schema Registry.mp4
03:13
029. Chapter 3. Summary.mp4
01:39
030. Chapter 4. Kafka clients.mp4
04:01
031. Chapter 4. Producing records with the KafkaProducer.mp4
19:07
032. Chapter 4. Consuming records with the KafkaConsumer.mp4
37:20
033. Chapter 4. Exactly-once delivery in Kafka.mp4
15:38
034. Chapter 4. Using the Admin API for programmatic topic management.mp4
02:57
035. Chapter 4. Handling multiple event types in a single topic.mp4
07:40
036. Chapter 4. Summary.mp4
03:14
037. Chapter 5. Kafka Connect.mp4
06:42
038. Chapter 5. Integrating external applications into Kafka.mp4
02:41
039. Chapter 5. Getting started with Kafka Connect.mp4
10:38
040. Chapter 5. Applying Single Message Transforms.mp4
06:00
041. Chapter 5. Adding a sink connector.mp4
05:47
042. Chapter 5. Building and deploying your own connector.mp4
19:01
043. Chapter 5. Summary.mp4
00:52
044. Part 3.mp4
03:12
045. Chapter 6. Developing Kafka Streams.mp4
01:41
046. Chapter 6. Kafka Streams DSL.mp4
01:08
047. Chapter 6. Hello World for Kafka Streams.mp4
14:30
048. Chapter 6. Masking credit card numbers and tracking purchase rewards in a retail sales setting.mp4
15:49
049. Chapter 6. Interactive development.mp4
03:21
050. Chapter 6. Choosing which events to process.mp4
17:32
051. Chapter 6. Summary.mp4
03:11
052. Chapter 7. Streams and state.mp4
03:39
053. Chapter 7. Adding stateful operations to Kafka Streams.mp4
30:26
054. Chapter 7. Stream-stream joins.mp4
17:53
055. Chapter 7. State stores in Kafka Streams.mp4
23:42
056. Chapter 7. Summary.mp4
01:01
057. Chapter 8. The KTable API.mp4
09:07
058. Chapter 8. KTables are stateful.mp4
02:09
059. Chapter 8. The KTable API.mp4
01:24
060. Chapter 8. KTable aggregations.mp4
08:00
061. Chapter 8. GlobalKTable.mp4
03:08
062. Chapter 8. Table joins.mp4
23:08
063. Chapter 8. Summary.mp4
01:29
064. Chapter 9. Windowing and timestamps.mp4
35:45
065. Chapter 9. Handling out order data with grace literally.mp4
04:57
066. Chapter 9. Final windowed results.mp4
11:32
067. Chapter 9. Timestamps in Kafka Streams.mp4
02:33
068. Chapter 9. The TimestampExtractor.mp4
05:23
069. Chapter 9. Stream time.mp4
02:39
070. Chapter 9. Summary.mp4
01:26
071. Chapter 10. The Processor API.mp4
13:17
072. Chapter 10. Digging deeper into the Processor API with a stock analysis processor.mp4
14:09
073. Chapter 10. Data-driven aggregation.mp4
07:11
074. Chapter 10. Integrating the Processor API and the Kafka Streams API.mp4
02:54
075. Chapter 10. Summary.mp4
00:52
076. Chapter 11. ksqlDB.mp4
11:12
077. Chapter 11. More about streaming queries.mp4
17:09
078. Chapter 11. Persistent vs. push vs. pull queries.mp4
11:36
079. Chapter 11. Creating Streams and Tables.mp4
05:47
080. Chapter 11. Schema Registry integration.mp4
06:11
081. Chapter 11. ksqlDB advanced features.mp4
09:27
082. Chapter 11. Summary.mp4
02:55
083. Chapter 12. Spring Kafka.mp4
05:35
084. Chapter 12. Using Spring to build Kafka-enabled applications.mp4
24:32
085. Chapter 12. Spring Kafka Streams.mp4
11:20
086. Chapter 12. Summary.mp4
01:24
087. Chapter 13. Kafka Streams Interactive Queries.mp4
03:25
088. Chapter 13. Learning about Interactive Queries.mp4
19:32
089. Chapter 13. Summary.mp4
00:53
090. Chapter 14. Testing.mp4
41:24
091. Chapter 14. Summary.mp4
01:47
092. appendix A. Schema compatibility workshop.mp4
09:35
093. appendix A. Forward compatibility.mp4
04:32
094. appendix A. Full compatibility.mp4
03:22
095. appendix B. Confluent resources.mp4
00:50
096. appendix B. Confluent command-line interface.mp4
01:08
097. appendix B. Confluent local.mp4
00:22
098. appendix C. Working with Avro, Protobuf, and JSON Schema.mp4
04:01
099. appendix C. Protocol Buffers.mp4
14:46
100. appendix C. JSON Schema.mp4
15:49
101. appendix D. Understanding Kafka Streams architecture.mp4
01:29
102. appendix D. Consumer and producer clients in Kafka Streams.mp4
05:30
103. appendix D. Assigning, distributing, and processing events.mp4
05:49
104. appendix D. Threads in Kafka Streams StreamThread.mp4
06:28
105. appendix D. Processing records.mp4
07:06
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- language english
- Training sessions 105
- duration 14:11:46
- Release Date 2024/11/03
