Oreilly - Kafka Streams in Action, Second Edition, Video Edition

Creation Time	March 2, 2025, 10:54 p.m.
Last Access Time	April 3, 2025, 1:28 a.m.
File Size	1.8 GB
Keywords	- Kafka Edition Second Streams in Action Video Oreilly
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Total Files	105
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090. Chapter 14. Testing.mp4 96.6 MB
032. Chapter 4. Consuming records with the KafkaConsumer.mp4 73.7 MB
022. Chapter 3. What is a schema, and why do you need one.mp4 72.9 MB
064. Chapter 9. Windowing and timestamps.mp4 66.5 MB
053. Chapter 7. Adding stateful operations to Kafka Streams.mp4 64.1 MB
084. Chapter 12. Using Spring to build Kafka-enabled applications.mp4 62.1 MB
055. Chapter 7. State stores in Kafka Streams.mp4 48.7 MB
042. Chapter 5. Building and deploying your own connector.mp4 48.5 MB
031. Chapter 4. Producing records with the KafkaProducer.mp4 45.1 MB
050. Chapter 6. Choosing which events to process.mp4 43.7 MB
088. Chapter 13. Learning about Interactive Queries.mp4 42.5 MB
062. Chapter 8. Table joins.mp4 42.2 MB
054. Chapter 7. Stream-stream joins.mp4 41.5 MB
077. Chapter 11. More about streaming queries.mp4 41.0 MB
048. Chapter 6. Masking credit card numbers and tracking purchase rewards in a retail sales setting.mp4 38.7 MB
099. appendix C. Protocol Buffers.mp4 35.7 MB
100. appendix C. JSON Schema.mp4 34.3 MB
072. Chapter 10. Digging deeper into the Processor API with a stock analysis processor.mp4 33.5 MB
033. Chapter 4. Exactly-once delivery in Kafka.mp4 33.0 MB
047. Chapter 6. Hello World for Kafka Streams.mp4 30.3 MB
071. Chapter 10. The Processor API.mp4 28.0 MB
085. Chapter 12. Spring Kafka Streams.mp4 27.8 MB
014. Chapter 2. Segments.mp4 27.6 MB
076. Chapter 11. ksqlDB.mp4 27.1 MB
078. Chapter 11. Persistent vs. push vs. pull queries.mp4 22.9 MB
081. Chapter 11. ksqlDB advanced features.mp4 22.8 MB
012. Chapter 2. Topics and partitions.mp4 21.4 MB
039. Chapter 5. Getting started with Kafka Connect.mp4 21.3 MB
066. Chapter 9. Final windowed results.mp4 20.9 MB
023. Chapter 3. Subject name strategies.mp4 20.7 MB
003. Chapter 1. Welcome to the Kafka event streaming platform.mp4 19.0 MB
073. Chapter 10. Data-driven aggregation.mp4 18.6 MB
035. Chapter 4. Handling multiple event types in a single topic.mp4 18.3 MB
092. appendix A. Schema compatibility workshop.mp4 17.9 MB
027. Chapter 3. Schema Registry (de)serializers.mp4 17.8 MB
057. Chapter 8. The KTable API.mp4 17.6 MB
026. Chapter 3. Schema references and multiple events per topic.mp4 17.4 MB
013. Chapter 2. Sending your first messages.mp4 17.4 MB
037. Chapter 5. Kafka Connect.mp4 15.9 MB
017. Chapter 2. Leaders and followers.mp4 15.1 MB
060. Chapter 8. KTable aggregations.mp4 15.0 MB
040. Chapter 5. Applying Single Message Transforms.mp4 14.7 MB
105. appendix D. Processing records.mp4 14.3 MB
079. Chapter 11. Creating Streams and Tables.mp4 13.8 MB
041. Chapter 5. Adding a sink connector.mp4 13.7 MB
083. Chapter 12. Spring Kafka.mp4 13.6 MB
024. Chapter 3. Schema compatibility.mp4 13.2 MB
102. appendix D. Consumer and producer clients in Kafka Streams.mp4 13.1 MB
025. Chapter 3. Schema references.mp4 12.5 MB
006. Chapter 1. Introducing the Apache Kafka event streaming platform.mp4 12.5 MB
104. appendix D. Threads in Kafka Streams StreamThread.mp4 12.4 MB
080. Chapter 11. Schema Registry integration.mp4 11.7 MB
103. appendix D. Assigning, distributing, and processing events.mp4 11.5 MB
007. Chapter 1. A concrete example of applying the Kafka event streaming platform.mp4 10.4 MB
065. Chapter 9. Handling out order data with grace literally.mp4 10.3 MB
068. Chapter 9. The TimestampExtractor.mp4 9.5 MB
093. appendix A. Forward compatibility.mp4 9.4 MB
030. Chapter 4. Kafka clients.mp4 9.4 MB
036. Chapter 4. Summary.mp4 8.6 MB
018. Chapter 2. Checking for a healthy broker.mp4 8.5 MB
052. Chapter 7. Streams and state.mp4 8.4 MB
098. appendix C. Working with Avro, Protobuf, and JSON Schema.mp4 8.3 MB
049. Chapter 6. Interactive development.mp4 8.2 MB
021. Chapter 3. Schema Registry.mp4 8.1 MB
015. Chapter 2. Tiered storage.mp4 8.0 MB
082. Chapter 11. Summary.mp4 7.9 MB
051. Chapter 6. Summary.mp4 7.8 MB
044. Part 3.mp4 7.6 MB
028. Chapter 3. Serialization without Schema Registry.mp4 7.4 MB
061. Chapter 8. GlobalKTable.mp4 7.2 MB
074. Chapter 10. Integrating the Processor API and the Kafka Streams API.mp4 7.1 MB
034. Chapter 4. Using the Admin API for programmatic topic management.mp4 7.0 MB
087. Chapter 13. Kafka Streams Interactive Queries.mp4 7.0 MB
094. appendix A. Full compatibility.mp4 7.0 MB
038. Chapter 5. Integrating external applications into Kafka.mp4 6.1 MB
009. Chapter 2. Kafka brokers.mp4 6.1 MB
069. Chapter 9. Stream time.mp4 6.0 MB
067. Chapter 9. Timestamps in Kafka Streams.mp4 5.7 MB
016. Chapter 2. Cluster metadata.mp4 5.3 MB
005. Chapter 1. An event stream example.mp4 5.3 MB
091. Chapter 14. Summary.mp4 5.3 MB
058. Chapter 8. KTables are stateful.mp4 4.8 MB
008. Chapter 1. Summary.mp4 4.8 MB
029. Chapter 3. Summary.mp4 4.5 MB
011. Chapter 2. Fetch requests.mp4 4.5 MB
020. Part 2.mp4 4.0 MB
004. Chapter 1. What is an event.mp4 4.0 MB
045. Chapter 6. Developing Kafka Streams.mp4 4.0 MB
010. Chapter 2. Produce requests.mp4 3.9 MB
063. Chapter 8. Summary.mp4 3.3 MB
070. Chapter 9. Summary.mp4 3.2 MB
086. Chapter 12. Summary.mp4 3.2 MB
059. Chapter 8. The KTable API.mp4 3.2 MB
101. appendix D. Understanding Kafka Streams architecture.mp4 3.0 MB
002. Part 1.mp4 2.9 MB
001. Part 1.mp4 2.9 MB
056. Chapter 7. Summary.mp4 2.8 MB
096. appendix B. Confluent command-line interface.mp4 2.6 MB
046. Chapter 6. Kafka Streams DSL.mp4 2.5 MB
043. Chapter 5. Summary.mp4 2.3 MB
089. Chapter 13. Summary.mp4 2.3 MB
075. Chapter 10. Summary.mp4 2.2 MB
019. Chapter 2. Summary.mp4 1.8 MB
095. appendix B. Confluent resources.mp4 1.8 MB
097. appendix B. Confluent local.mp4 775.8 KB

Oreilly - Kafka Streams in Action, Second Edition, Video Edition

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