Udemy - Kafka Streams with Spring Cloud Stream

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Kafka Streams with Spring Cloud Stream [TutsNode.com] - Kafka Streams with Spring Cloud Stream 6. Processing Kafka Streams
  • 2. Processing JSON Message Stream.mp4 (156.4 MB)
  • 2. Processing JSON Message Stream.srt (26.3 KB)
  • 4. Processing AVRO message Stream.srt (17.5 KB)
  • 6. KStream Methods.srt (15.5 KB)
  • 5. Understanding Record Serialization.srt (14.5 KB)
  • 1. Real-time Stream Processing - Requirement.srt (8.6 KB)
  • 3. Real-life Serialization Scenarios.srt (6.5 KB)
  • 4. Processing AVRO message Stream.mp4 (93.2 MB)
  • 6. KStream Methods.mp4 (64.1 MB)
  • 5. Understanding Record Serialization.mp4 (52.3 MB)
  • 1. Real-time Stream Processing - Requirement.mp4 (25.4 MB)
  • 3. Real-life Serialization Scenarios.mp4 (17.9 MB)
8. KTable and Aggregations
  • 4. Aggregation Concepts.srt (30.0 KB)
  • 5. Reducing A Kafka Stream.srt (24.8 KB)
  • 2. Deep Dive into KTable.srt (19.0 KB)
  • 8. KTable Aggregation.srt (18.9 KB)
  • 6. Aggregating a Kafka Stream.srt (15.1 KB)
  • 3. Computing Streaming Aggregates.srt (14.7 KB)
  • 1. Introducing KTable.srt (6.0 KB)
  • 7. Aggregation Challenges.srt (6.0 KB)
  • 5. Reducing A Kafka Stream.mp4 (137.5 MB)
  • 8. KTable Aggregation.mp4 (99.0 MB)
  • 6. Aggregating a Kafka Stream.mp4 (86.9 MB)
  • 2. Deep Dive into KTable.mp4 (75.6 MB)
  • 4. Aggregation Concepts.mp4 (71.3 MB)
  • 3. Computing Streaming Aggregates.mp4 (68.9 MB)
  • 7. Aggregation Challenges.mp4 (31.1 MB)
  • 1. Introducing KTable.mp4 (19.6 MB)
5. Producing Data to Kafka
  • 3. Producing JSON Messages.srt (24.7 KB)
  • 4. Producing AVRO Messages.srt (20.5 KB)
  • 1. Simple RESTful Kafka Producer.srt (16.7 KB)
  • 2. Creating Retail POS Simulator.srt (6.1 KB)
  • 3. Producing JSON Messages.mp4 (142.3 MB)
  • 4. Producing AVRO Messages.mp4 (126.7 MB)
  • 1. Simple RESTful Kafka Producer.mp4 (87.9 MB)
  • 2. Creating Retail POS Simulator.mp4 (17.3 MB)
10. Joins in Kafka Streams
  • 5. Implementing Complex Aggregation.srt (24.7 KB)
  • 4. KStream to KTable Join.srt (15.5 KB)
  • 2. KStream to KStream Joins.srt (15.0 KB)
  • 3. KTable to KTable Join.srt (6.6 KB)
  • 1. Joins in Kafka Stream.srt (6.4 KB)
  • 5. Implementing Complex Aggregation.mp4 (110.0 MB)
  • 2. KStream to KStream Joins.mp4 (82.2 MB)
  • 4. KStream to KTable Join.mp4 (65.1 MB)
  • 3. KTable to KTable Join.mp4 (31.6 MB)
  • 1. Joins in Kafka Stream.mp4 (29.3 MB)
1. Before you begin
  • 4. Source Code and Other Resources.html (0.6 KB)
  • 5. Creating your starter project.srt (11.0 KB)
  • 3. Setting Up Your Environment.srt (5.2 KB)
  • 1. About the course.srt (3.5 KB)
  • 2. Course Prerequisite.srt (3.0 KB)
  • 5. Creating your starter project.mp4 (57.9 MB)
  • 3. Setting Up Your Environment.mp4 (16.3 MB)
  • 1. About the course.mp4 (15.5 MB)
  • 2. Course Prerequisite.mp4 (12.1 MB)
2. Environment setup on Windows 10 Machine
  • 2. Creating your first Kafka Streams project - Windows.srt (18.5 KB)
  • 1. Installing Confluent Kafka - Windows WSL.srt (12.0 KB)
  • 2. Creating your first Kafka Streams project - Windows.mp4 (99.2 MB)
  • 1. Installing Confluent Kafka - Windows WSL.mp4 (81.9 MB)
7. Working with KStream
  • 2. Implementing Exactly Once.srt (17.3 KB)
  • 1. Kafka Streams Exactly Once.srt (15.5 KB)
  • 6. Mixed Branching of a KStream.srt (14.1 KB)
  • 4. Working with XML Inputs.srt (8.8 KB)
  • 5. Handling Errors and Exceptions.srt (7.0 KB)
  • 3. Let's Practice - A Complex Problem Statement.srt (6.2 KB)
  • 7. Handling Poisson Pills.srt (6.0 KB)
  • 2. Implementing Exactly Once.mp4 (93.6 MB)
  • 6. Mixed Branching of a KStream.mp4 (78.7 MB)
  • 1. Kafka Streams Exactly Once.mp4 (52.4 MB)
  • 4. Working with XML Inputs.mp4 (42.8 MB)
  • 5. Handling Errors and Exceptions.mp4 (34.5 MB)
  • 7. Handling Poisson Pills.mp4 (18.8 MB)
  • 3. Let's Practice - A Complex Problem Statement.mp4 (17.9 MB)
3. Environment Setup on Mac Machine
  • 2. Creating your first Kafka Streams project - Mac.srt (17.1 KB)
  • 1. Installing Confluent Kafka - Mac.srt (6.5 KB)
  • 2. Creating your first Kafka Streams project - Mac.mp4 (93.0 MB)
  • 1. Installing Confluent Kafka - Mac.mp4 (42.4 MB)
11. Kafka Streams in Functional Style and Unit Testing
  • 2. Stream Listeners Automating Test Cases.srt (16.9 KB)
  • 3. Functional Style of Converting Stream Listeners.srt (14.9 KB)
  • 1. Stream Listener Manual Testing.srt (9.7 KB)
  • 2. Stream Listeners Automating Test Cases.mp4 (89.6 MB)
  • 3. Functional Style of Converting Stream Listeners.mp4 (77.6 MB)
  • 1. Stream Listener Manual Testing.mp4 (49.7 MB)
4. Understanding the technology stack
  • 2. Introduction to Spring Cloud Streams.srt (14.0 KB)
  • 1. Understanding Kafka Support in Spring.srt (9.9 KB)
  • 3. Introduction to Kafka Streams.srt (5.7 KB)
  • 2. Introduction to Spring Cloud Streams.mp4 (51.9 MB)
  • 1. Understanding Kafka Support in Spring.mp4 (34.5 MB)
  • 3. Introduction to Kafka Streams.mp4 (33.2 MB)
9. Timestamp and Windowing Aggregates
  • 2. Windowing Aggregates.srt (13.0 KB)
  • 4. Session Windows.srt (12.2 KB)
  • 1. Kafka Time Semantics.srt (7.9 KB)
  • 3. Tumbling Window Vs Hopping Time Window.srt (7.2 KB)
  • 4. Session Windows.mp4 (66.8 MB)
  • 2. Windowing Aggregates.mp4 (55.9 MB)
  • 1. Kafka Time Semantics.mp4 (20.0 MB)
  • 3. Tumbling Window Vs Hopping Time Window.mp4 (18.6 MB)
12. Keep Learning
  • 1. Final Word.srt (1.3 KB)
  • 2. Bonus Lecture Get Extra.html (2.1 KB)

Description


Description

About the Course

I am creating Kafka Streams with Spring Cloud Streams to help you understand stream processing in general and apply it to Kafka Streams Programming using Spring Boot.

My approach to creating this course is a progressive common-sense approach to teaching a complex subject. Using this unique approach, I will help you apply your general ability to perceive, understand, and reason the concepts progressively that I am explaining in this course.

Who should take this Course?

Kafka Streams with Spring Cloud Streams course is designed for software engineers willing to develop a stream processing application using the Kafka Streams library and Spring Boot. I am also creating this course for data architects and data engineers responsible for designing and building the organization’s data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Kafka implementation, but they work with the people who implement Kafka Streams at the ground level.

Kafka Version used in the Course

This course is using the Kafka Streams library compatible with Spring Cloud 2020. I have tested all the source code and examples used in this course on Confluent Platform 6.0.0 which is compatible with Apache Kafka 2.6 open source distribution.

Source Code, Development IDE, Build Tool, Logging, and Testing Tools

This course is fully example-driven, and I will be creating many examples in the class. The source code files for all the examples are included in your study material.

This course will be making extensive use of IntelliJ IDEA as the preferred development IDE. However, based on your prior experience, you should be able to work with any other IDE designed for Spring application development.

This course will be using Apache Maven and Gradle as the preferred build tool. However, based on your prior experience, you should be able to use any other build tool designed for Java applications.

This course also makes use of Log4J2 to teach you industry-standard log implementation in your application.

We will be using JUnit5, which is the latest version of JUnit, for implementing Unit Test Cases.

Example and Exercises

Working examples and exercises are the most critical tool to convert your knowledge into a skill. I have already included a lot of examples in the course. This course also consists of some programming assignments as and when appropriate. These exercises will help you validate and check your concepts and apply your learning to solve programming problems.
Who this course is for:

Software Engineers and Architects who are willing to design and develop a Stream Processing Application using Kafka Streams Library.
Spring Boot Programmers aspiring to learn everything necessary to start implementing real-time streaming applications using Apache Kafka

Requirements

Programming knowledge using Spring Boot framework
Apache Kafka fundamental knowledge
A Recent 64-bit Windows/Mac/Linux machine with 4 GB RAM (8 GB recommended)

Last Updated 2/2021



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Udemy - Kafka Streams with Spring Cloud Stream

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2.9 GB
seeders:15
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Udemy - Kafka Streams with Spring Cloud Stream

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