Oreilly Kafka Streams in Action Second Edition Video Edition | 4E4A4318635F923AD9A58ADDA4A9C8D963AF2049

Oreilly Kafka Streams in Action Second Edition Video Edition

Name	Oreilly - Kafka Streams in Action, Second Edition, Video Edition	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.0 GB
Total Files	105
Hash	4E4A4318635F923AD9A58ADDA4A9C8D963AF2049

/
090. Chapter 14. Testing.mp4	101.3 MB
002. Part 1.mp4	3.0 MB
003. Chapter 1. Welcome to the Kafka event streaming platform.mp4	19.9 MB
004. Chapter 1. What is an event.mp4	4.2 MB
005. Chapter 1. An event stream example.mp4	5.5 MB
006. Chapter 1. Introducing the Apache Kafka event streaming platform.mp4	13.1 MB
007. Chapter 1. A concrete example of applying the Kafka event streaming platform.mp4	10.9 MB
008. Chapter 1. Summary.mp4	5.1 MB
009. Chapter 2. Kafka brokers.mp4	6.4 MB
010. Chapter 2. Produce requests.mp4	4.1 MB
011. Chapter 2. Fetch requests.mp4	4.7 MB
012. Chapter 2. Topics and partitions.mp4	22.4 MB
013. Chapter 2. Sending your first messages.mp4	18.2 MB
014. Chapter 2. Segments.mp4	28.9 MB
015. Chapter 2. Tiered storage.mp4	8.4 MB
016. Chapter 2. Cluster metadata.mp4	5.5 MB
017. Chapter 2. Leaders and followers.mp4	15.8 MB
018. Chapter 2. Checking for a healthy broker.mp4	8.9 MB
019. Chapter 2. Summary.mp4	1.9 MB
020. Part 2.mp4	4.2 MB
021. Chapter 3. Schema Registry.mp4	8.5 MB
022. Chapter 3. What is a schema, and why do you need one.mp4	76.5 MB
023. Chapter 3. Subject name strategies.mp4	21.7 MB
024. Chapter 3. Schema compatibility.mp4	13.9 MB
025. Chapter 3. Schema references.mp4	13.1 MB
026. Chapter 3. Schema references and multiple events per topic.mp4	18.3 MB
027. Chapter 3. Schema Registry (de)serializers.mp4	18.7 MB
028. Chapter 3. Serialization without Schema Registry.mp4	7.8 MB
029. Chapter 3. Summary.mp4	4.7 MB
030. Chapter 4. Kafka clients.mp4	9.8 MB
031. Chapter 4. Producing records with the KafkaProducer.mp4	47.2 MB
032. Chapter 4. Consuming records with the KafkaConsumer.mp4	77.3 MB
033. Chapter 4. Exactly-once delivery in Kafka.mp4	34.6 MB
034. Chapter 4. Using the Admin API for programmatic topic management.mp4	7.4 MB
035. Chapter 4. Handling multiple event types in a single topic.mp4	19.2 MB
036. Chapter 4. Summary.mp4	9.0 MB
037. Chapter 5. Kafka Connect.mp4	16.7 MB
038. Chapter 5. Integrating external applications into Kafka.mp4	6.4 MB
039. Chapter 5. Getting started with Kafka Connect.mp4	22.3 MB
040. Chapter 5. Applying Single Message Transforms.mp4	15.4 MB
041. Chapter 5. Adding a sink connector.mp4	14.3 MB
042. Chapter 5. Building and deploying your own connector.mp4	50.9 MB
043. Chapter 5. Summary.mp4	2.4 MB
044. Part 3.mp4	8.0 MB
045. Chapter 6. Developing Kafka Streams.mp4	4.2 MB
046. Chapter 6. Kafka Streams DSL.mp4	2.6 MB
047. Chapter 6. Hello World for Kafka Streams.mp4	31.8 MB
048. Chapter 6. Masking credit card numbers and tracking purchase rewards in a retail sales setting.mp4	40.6 MB
049. Chapter 6. Interactive development.mp4	8.5 MB
050. Chapter 6. Choosing which events to process.mp4	45.8 MB
051. Chapter 6. Summary.mp4	8.2 MB
052. Chapter 7. Streams and state.mp4	8.8 MB
053. Chapter 7. Adding stateful operations to Kafka Streams.mp4	67.2 MB
054. Chapter 7. Stream-stream joins.mp4	43.5 MB
055. Chapter 7. State stores in Kafka Streams.mp4	51.1 MB
056. Chapter 7. Summary.mp4	2.9 MB
057. Chapter 8. The KTable API.mp4	18.5 MB
058. Chapter 8. KTables are stateful.mp4	5.1 MB
059. Chapter 8. The KTable API.mp4	3.3 MB
060. Chapter 8. KTable aggregations.mp4	15.7 MB
061. Chapter 8. GlobalKTable.mp4	7.6 MB
062. Chapter 8. Table joins.mp4	44.3 MB
063. Chapter 8. Summary.mp4	3.5 MB
064. Chapter 9. Windowing and timestamps.mp4	69.7 MB
065. Chapter 9. Handling out order data with grace literally.mp4	10.8 MB
066. Chapter 9. Final windowed results.mp4	21.9 MB
067. Chapter 9. Timestamps in Kafka Streams.mp4	6.0 MB
068. Chapter 9. The TimestampExtractor.mp4	10.0 MB
069. Chapter 9. Stream time.mp4	6.3 MB
070. Chapter 9. Summary.mp4	3.4 MB
071. Chapter 10. The Processor API.mp4	29.3 MB
072. Chapter 10. Digging deeper into the Processor API with a stock analysis processor.mp4	35.1 MB
073. Chapter 10. Data-driven aggregation.mp4	19.5 MB
074. Chapter 10. Integrating the Processor API and the Kafka Streams API.mp4	7.4 MB
075. Chapter 10. Summary.mp4	2.3 MB
076. Chapter 11. ksqlDB.mp4	28.4 MB
077. Chapter 11. More about streaming queries.mp4	43.0 MB
078. Chapter 11. Persistent vs. push vs. pull queries.mp4	24.0 MB
079. Chapter 11. Creating Streams and Tables.mp4	14.5 MB
080. Chapter 11. Schema Registry integration.mp4	12.3 MB
081. Chapter 11. ksqlDB advanced features.mp4	23.9 MB
082. Chapter 11. Summary.mp4	8.3 MB
083. Chapter 12. Spring Kafka.mp4	14.3 MB
084. Chapter 12. Using Spring to build Kafka-enabled applications.mp4	65.2 MB
085. Chapter 12. Spring Kafka Streams.mp4	29.1 MB
086. Chapter 12. Summary.mp4	3.4 MB
087. Chapter 13. Kafka Streams Interactive Queries.mp4	7.3 MB
088. Chapter 13. Learning about Interactive Queries.mp4	44.6 MB
089. Chapter 13. Summary.mp4	2.4 MB
001. Part 1.mp4	3.0 MB
091. Chapter 14. Summary.mp4	5.5 MB
092. appendix A. Schema compatibility workshop.mp4	18.8 MB
093. appendix A. Forward compatibility.mp4	9.9 MB
094. appendix A. Full compatibility.mp4	7.3 MB
095. appendix B. Confluent resources.mp4	1.9 MB
096. appendix B. Confluent command-line interface.mp4	2.7 MB
097. appendix B. Confluent local.mp4	794.4 KB
098. appendix C. Working with Avro, Protobuf, and JSON Schema.mp4	8.7 MB
099. appendix C. Protocol Buffers.mp4	37.4 MB
100. appendix C. JSON Schema.mp4	35.9 MB
101. appendix D. Understanding Kafka Streams architecture.mp4	3.2 MB
102. appendix D. Consumer and producer clients in Kafka Streams.mp4	13.7 MB
103. appendix D. Assigning, distributing, and processing events.mp4	12.0 MB
104. appendix D. Threads in Kafka Streams StreamThread.mp4	13.0 MB
105. appendix D. Processing records.mp4	15.0 MB
Total files 105