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Kafka Streams API for Developers Using Java/Spring Boot 3.X
Kafka Streams API for Developers Using Java/Spring Boot 3.X

Kafka Streams API for Developers Using Java/Spring Boot 3.X: Master the Kafka Streams API to build advanced real-time Kafka streaming applications using Java and Spring Boot 3.x

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Profile Icon Dilip Sundarraj
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₹800 per month
Video Jul 2023 13hrs 15mins 1st Edition
Video
₹4096.99
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Free Trial
Renews at ₹800p/m
Arrow left icon
Profile Icon Dilip Sundarraj
Arrow right icon
₹800 per month
Video Jul 2023 13hrs 15mins 1st Edition
Video
₹4096.99
Subscription
Free Trial
Renews at ₹800p/m
Video
₹4096.99
Subscription
Free Trial
Renews at ₹800p/m

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Key benefits

  • Build interactive queries to retrieve the aggregated data through RESTFUL APIs
  • Build a real-time retail streaming application using Streams API
  • Build enterprise standard Kafka Streams application using Spring Boot

Description

Welcome to the Kafka Streams API video course, where you will dive deep into building powerful Kafka Streams applications. In the first section, you will start by introducing the fundamental concepts and terminologies associated with Kafka Streams development. You will then move on to building a simple Kafka Streams app and testing it locally to gain hands-on experience. Next, you will explore the various operators available in the Kafka Streams API, gaining a solid understanding of how they contribute to building robust streaming applications. You will also delve into the serialization and deserialization process, learning the best approach to creating a generic serializer and deserializer that can be utilized for any type of message. Moving forward, you will take on the exciting task of implementing an order management system for a retail company using Kafka Streams. You will explore error handling mechanisms, KTable and GlobalKTable concepts, and dive into stateful operators and aggregation-related functionalities. Additionally, you will learn about the importance of rekeying records and the use of joins in your application. Continuing your journey, you will learn about writing automated tests for Kafka Streams apps, including unit tests and integration tests using Embedded Kafka. Additionally, you will explore the concept of a grace period and its application in Kafka Streams. Finally, you will learn how to package your Kafka Streams app as an executable and launch it effectively. By the end of this course, you will have a comprehensive understanding of the Kafka Streams API, enabling you to build a wide range of applications using this powerful tool.

Who is this book for?

This course is developed for advanced Java developers, Kafka developers who are curious to learn Kafka Streams API, and Kafka developers who are interested in building advanced streaming applications. It can also be taken by developers who wish to learn the techniques to test Kafka Streams applications. Prerequisites for this course include a solid foundation in Java programming and prior experience in building Kafka applications. Familiarity with IntelliJ or any other IDE is recommended. Additionally, a working knowledge of Java 17 and understanding of Gradle or Maven is necessary.

What you will learn

  • Build advanced Kafka Streams applications using Streams API
  • Build Kafka Streams application using high-level DSL
  • Test Kafka Streams using TopologyTestDriver using JUnit5
  • Test Spring Kafka Streams using EmbeddedKafka and JUnit5
  • Aggregate multiple events into aggregated events
  • Learn to join multiple streams into one joined stream

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 18, 2023
Length: 13hrs 15mins
Edition : 1st
Language : English
ISBN-13 : 9781835087428
Vendor :
Apache
Category :
Languages :
Concepts :
Tools :

What do you get with a Packt Subscription?

Free for first 7 days. ₹800 p/m after that. Cancel any time!
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Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Jul 18, 2023
Length: 13hrs 15mins
Edition : 1st
Language : English
ISBN-13 : 9781835087428
Vendor :
Apache
Category :
Languages :
Concepts :
Tools :

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Table of Contents

33 Chapters
Getting Started with the Course Chevron down icon Chevron up icon
Getting Started with Kafka Streams Chevron down icon Chevron up icon
Greetings Kafka Streams App Using KStreams API Chevron down icon Chevron up icon
Operators in Kafka Streams Using KStreams API Chevron down icon Chevron up icon
Serialization and Deserialization in Kafka Streams Chevron down icon Chevron up icon
Reusable Generic Serializer/Deserializer (Recommended Approach) Chevron down icon Chevron up icon
Order Management Kafka Streams Application - A Real-Time Use Case Chevron down icon Chevron up icon
Topology, Stream, and Tasks - Under the Hood Chevron down icon Chevron up icon
Error/Exception Handling in Kafka Streams Chevron down icon Chevron up icon
KTable and Global KTable Chevron down icon Chevron up icon
StateFul Operations in Kafka Streams - Aggregate, Join, and Windowing Events Chevron down icon Chevron up icon
StateFul Operation Results - How to Access Them? Chevron down icon Chevron up icon
Aggregation in Order Management Application - A Real-Time Use Case Chevron down icon Chevron up icon
Rekeying Kafka Records for Stateful Operations Chevron down icon Chevron up icon
StateFul Operations in Kafka Streams - Join Chevron down icon Chevron up icon
Join in Order Management Application - A Real-Time Use Case Chevron down icon Chevron up icon
StateFul Operations in Kafka Streams - Windowing Chevron down icon Chevron up icon
Widowing in Order Management Application - A Real-Time Use Case Chevron down icon Chevron up icon
Behavior of Records with Future and Older Timestamp in Windowing Chevron down icon Chevron up icon
Build Kafka Streams Application Using Spring Boot Chevron down icon Chevron up icon
Spring Boot Autoconfiguration of Kafka Streams Chevron down icon Chevron up icon
JSON Serialization/Deserialization in Spring Kafka Streams Chevron down icon Chevron up icon
Error Handling in Spring Kafka Streams Chevron down icon Chevron up icon
Build Orders Kafka Streams Application Using Spring Boot Chevron down icon Chevron up icon
Interactive Queries - Querying State Stores Using RESTFUL APIs Chevron down icon Chevron up icon
Interactive Queries - Querying Window State Stores Using RESTFUL APIs Chevron down icon Chevron up icon
Testing Kafka Streams Using TopologyTestDriver and JUnit5 Chevron down icon Chevron up icon
Testing Kafka Streams in Spring Boot Using TopologyTestDriver and JUnit5 Chevron down icon Chevron up icon
Integration Testing Spring KafkaStreams App Using @EmbeddedKafka Chevron down icon Chevron up icon
Grace Period in Kafka Streams Chevron down icon Chevron up icon
Build and Package the Spring Boot App as an Executable Chevron down icon Chevron up icon
Exactly Once Processing/Semantics in Kafka Streams Chevron down icon Chevron up icon
Running Kafka Streams Applications as Multiple Instances (Spring Boot) Chevron down icon Chevron up icon
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