001 Part 1.mp4 (2.86 MB)
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002 Part 1.mp4 (2.86 MB)
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003 Chapter 1 Welcome to the Kafka event streaming platform.mp4 (19.01 MB)
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004 Chapter 1 What is an event.mp4 (4.03 MB)
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005 Chapter 1 An event stream example.mp4 (5.27 MB)
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006 Chapter 1 Introducing the Apache Kafka event streaming platform.mp4 (12.46 MB)
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007 Chapter 1 A concrete example of applying the Kafka event streaming platform.mp4 (10.38 MB)
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008 Chapter 1 Summary.mp4 (4.82 MB)
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009 Chapter 2 Kafka brokers.mp4 (6.06 MB)
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010 Chapter 2 Produce requests.mp4 (3.93 MB)
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011 Chapter 2 Fetch requests.mp4 (4.49 MB)
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012 Chapter 2 Topics and partitions.mp4 (21.39 MB)
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013 Chapter 2 Sending your first messages.mp4 (17.38 MB)
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014 Chapter 2 Segments.mp4 (27.55 MB)
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015 Chapter 2 Tiered storage.mp4 (8.02 MB)
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016 Chapter 2 Cluster metadata.mp4 (5.28 MB)
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017 Chapter 2 Leaders and followers.mp4 (15.09 MB)
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018 Chapter 2 Checking for a healthy broker.mp4 (8.52 MB)
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019 Chapter 2 Summary.mp4 (1.82 MB)
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020 Part 2.mp4 (4.04 MB)
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021 Chapter 3 Schema Registry.mp4 (8.12 MB)
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022 Chapter 3 What is a schema, and why do you need one.mp4 (72.93 MB)
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023 Chapter 3 Subject name strategies.mp4 (20.69 MB)
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024 Chapter 3 Schema compatibility.mp4 (13.25 MB)
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025 Chapter 3 Schema references.mp4 (12.52 MB)
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026 Chapter 3 Schema references and multiple events per topic.mp4 (17.44 MB)
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027 Chapter 3 Schema Registry (de)serializers.mp4 (17.8 MB)
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028 Chapter 3 Serialization without Schema Registry.mp4 (7.45 MB)
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029 Chapter 3 Summary.mp4 (4.5 MB)
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030 Chapter 4 Kafka clients.mp4 (9.35 MB)
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031 Chapter 4 Producing records with the KafkaProducer.mp4 (45.05 MB)
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032 Chapter 4 Consuming records with the KafkaConsumer.mp4 (73.75 MB)
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033 Chapter 4 Exactly-once delivery in Kafka.mp4 (32.96 MB)
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034 Chapter 4 Using the Admin API for programmatic topic management.mp4 (7.03 MB)
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035 Chapter 4 Handling multiple event types in a single topic.mp4 (18.35 MB)
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036 Chapter 4 Summary.mp4 (8.58 MB)
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037 Chapter 5 Kafka Connect.mp4 (15.95 MB)
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038 Chapter 5 Integrating external applications into Kafka.mp4 (6.09 MB)
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039 Chapter 5 Getting started with Kafka Connect.mp4 (21.27 MB)
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040 Chapter 5 Applying Single Message Transforms.mp4 (14.67 MB)
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041 Chapter 5 Adding a sink connector.mp4 (13.66 MB)
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042 Chapter 5 Building and deploying your own connector.mp4 (48.51 MB)
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043 Chapter 5 Summary.mp4 (2.28 MB)
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044 Part 3.mp4 (7.64 MB)
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045 Chapter 6 Developing Kafka Streams.mp4 (3.98 MB)
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046 Chapter 6 Kafka Streams DSL.mp4 (2.51 MB)
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047 Chapter 6 Hello World for Kafka Streams.mp4 (30.28 MB)
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048 Chapter 6 Masking credit card numbers and tracking purchase rewards in a retail sales setting.mp4 (38.69 MB)
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049 Chapter 6 Interactive development.mp4 (8.15 MB)
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050 Chapter 6 Choosing which events to process.mp4 (43.67 MB)
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051 Chapter 6 Summary.mp4 (7.78 MB)
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052 Chapter 7 Streams and state.mp4 (8.37 MB)
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053 Chapter 7 Adding stateful operations to Kafka Streams.mp4 (64.13 MB)
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054 Chapter 7 Stream-stream joins.mp4 (41.5 MB)
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055 Chapter 7 State stores in Kafka Streams.mp4 (48.74 MB)
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056 Chapter 7 Summary.mp4 (2.78 MB)
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057 Chapter 8 The KTable API.mp4 (17.64 MB)
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058 Chapter 8 KTables are stateful.mp4 (4.84 MB)
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059 Chapter 8 The KTable API.mp4 (3.18 MB)
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060 Chapter 8 KTable aggregations.mp4 (14.96 MB)
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061 Chapter 8 GlobalKTable.mp4 (7.24 MB)
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062 Chapter 8 Table joins.mp4 (42.23 MB)
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063 Chapter 8 Summary.mp4 (3.34 MB)
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064 Chapter 9 Windowing and timestamps.mp4 (66.49 MB)
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065 Chapter 9 Handling out order data with grace literally.mp4 (10.34 MB)
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066 Chapter 9 Final windowed results.mp4 (20.86 MB)
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067 Chapter 9 Timestamps in Kafka Streams.mp4 (5.7 MB)
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068 Chapter 9 The TimestampExtractor.mp4 (9.52 MB)
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069 Chapter 9 Stream time.mp4 (6.01 MB)
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070 Chapter 9 Summary.mp4 (3.22 MB)
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071 Chapter 10 The Processor API.mp4 (27.97 MB)
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072 Chapter 10 Digging deeper into the Processor API with a stock analysis processor.mp4 (33.48 MB)
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073 Chapter 10 Data-driven aggregation.mp4 (18.64 MB)
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074 Chapter 10 Integrating the Processor API and the Kafka Streams API.mp4 (7.06 MB)
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075 Chapter 10 Summary.mp4 (2.21 MB)
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076 Chapter 11 ksqlDB.mp4 (27.1 MB)
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077 Chapter 11 More about streaming queries.mp4 (41.05 MB)
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078 Chapter 11 Persistent vs push vs pull queries.mp4 (22.93 MB)
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079 Chapter 11 Creating Streams and Tables.mp4 (13.8 MB)
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080 Chapter 11 Schema Registry integration.mp4 (11.73 MB)
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081 Chapter 11 ksqlDB advanced features.mp4 (22.79 MB)
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082 Chapter 11 Summary.mp4 (7.94 MB)
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083 Chapter 12 Spring Kafka.mp4 (13.6 MB)
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084 Chapter 12 Using Spring to build Kafka-enabled applications.mp4 (62.14 MB)
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085 Chapter 12 Spring Kafka Streams.mp4 (27.79 MB)
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086 Chapter 12 Summary.mp4 (3.22 MB)
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087 Chapter 13 Kafka Streams Interactive Queries.mp4 (7 MB)
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088 Chapter 13 Learning about Interactive Queries.mp4 (42.49 MB)
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089 Chapter 13 Summary.mp4 (2.26 MB)
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090 Chapter 14 Testing.mp4 (96.58 MB)
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091 Chapter 14 Summary.mp4 (5.27 MB)
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092 appendix A Schema compatibility workshop.mp4 (17.94 MB)
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093 appendix A Forward compatibility.mp4 (9.45 MB)
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094 appendix A Full compatibility.mp4 (6.96 MB)
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095 appendix B Confluent resources.mp4 (1.82 MB)
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096 appendix B Confluent command-line interface.mp4 (2.59 MB)
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097 appendix B Confluent local.mp4 (775.78 KB)
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098 appendix C Working with Avro, Protobuf, and JSON Schema.mp4 (8.27 MB)
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099 appendix C Protocol Buffers.mp4 (35.68 MB)
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100 appendix C JSON Schema.mp4 (34.28 MB)
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101 appendix D Understanding Kafka Streams architecture.mp4 (3.02 MB)
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102 appendix D Consumer and producer clients in Kafka Streams.mp4 (13.07 MB)
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103 appendix D Assigning, distributing, and processing events.mp4 (11.45 MB)
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104 appendix D Threads in Kafka Streams StreamThread.mp4 (12.4 MB)
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105 appendix D Processing records.mp4 (14.28 MB)
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