Kafka Streams in Action, Second Edition, Video Edition

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Free Download Kafka Streams in Action, Second Edition, Video Edition
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 14h 11m | Size: 1.82 GB
In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.

Everything you need to implement stream processing on Apache KafkaⓇ using Kafka Streams and the kqsIDB event streaming database.
Kafka Streams in Action, Second Edition guides you through setting up and maintaining your streaming processing with Kafka. Inside, you'll find comprehensive coverage of not only Kafka Streams, but the entire toolbox you'll need for effective streaming-from the components of the Kafka ecosystem, to Producer and Consumer clients, Connect, and Schema Registry.
In Kafka Streams in Action, Second Edition you'll learn how to
Design streaming applications in Kafka Streams with the KStream and the Processor API
Integrate external systems with Kafka Connect
Enforce data compatibility with Schema Registry
Build applications that respond immediately to events in either Kafka Streams or ksqlDB
Craft materialized views over streams with ksqlDB
This totally revised new edition of Kafka Streams in Action has been expanded to cover more of the Kafka platform used for building event-based applications. You'll also find full coverage of ksqlDB, an event streaming database that makes it a snap to create applications that respond immediately to events, such as real-time push and pull updates.
About the Technology
Enterprise applications need to handle thousands-even millions-of data events every day. With an intuitive API and flawless reliability, the lightweight Kafka Streams library has earned a spot at the center of these systems. Kafka Streams provides exactly the power and simplicity you need to manage real-time event processing or microservices messaging.
About the Book
Kafka Streams in Action, Second Edition teaches you how to create event streaming applications on the amazing Apache Kafka platform. This thoroughly revised new edition now covers a wider range of streaming architectures and includes data integration with Kafka Connect. As you go, you'll explore real-world examples that introduce components and brokers, schema management, and the other essentials. Along the way, you'll pick up practical techniques for blending Kafka with Spring, low-level control of processors and state stores, storing event data with ksqlDB, and testing streaming applications.
What's Inside
Design efficient streaming applications
Integrate external systems with Kafka Connect
Enforce data compatibility with Schema Registry
About the Reader
For Java developers. No knowledge of Kafka or streaming applications required.
About the Author
Bill Bejeck is a Confluent engineer and a Kafka Streams contributor with over 15 years of software development experience. Bill is also a committer on the Apache KafkaⓇ project.
Quotes
Comprehensive streaming data applications are only a few years away from becoming the reality, and this book is the guide the industry has been waiting for to move beyond the hype.
- Adi Polak, Director, Developer Experience Engineering, Confluent
Covers all the key aspects of building applications with Kafka Streams. Whether you are getting started with stream processing or have already built Kafka Streams applications, it is an essential resource.
- Mickael Maison, Principal Software Engineer, Red Hat
Serves as both a learning and a resource guide, offering a perfect blend of 'how-to' and 'why-to.' Even if you have been using Kafka Streams for many years, I highly recommend this book.
- Neil Buesing, CTO & Co-founder, Kinetic Edge




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Download Free Download : Kafka Streams in Action, Second Edition, Video Edition
mp4 | Video: h264,1920X1080 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:1.83 GB

Files Included :
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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Code:
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Code:
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