| 0 | 409.6 B | ||
| 1. About the course.mp4 | 15.5 MB | ||
| 1. About the course.srt | 3.5 KB | ||
| 1. Final Word.mp4 | 6.2 MB | ||
| 1. Final Word.srt | 1.3 KB | ||
| 1. Installing Confluent Kafka - Mac.mp4 | 42.4 MB | ||
| 1. Installing Confluent Kafka - Mac.srt | 6.5 KB | ||
| 1. Installing Confluent Kafka - Windows WSL.mp4 | 81.9 MB | ||
| 1. Installing Confluent Kafka - Windows WSL.srt | 12 KB | ||
| 1. Introducing KTable.mp4 | 19.6 MB | ||
| 1. Introducing KTable.srt | 6 KB | ||
| 1. Joins in Kafka Stream.mp4 | 29.3 MB | ||
| 1. Joins in Kafka Stream.srt | 6.4 KB | ||
| 1. Kafka Streams Exactly Once.mp4 | 52.4 MB | ||
| 1. Kafka Streams Exactly Once.srt | 15.5 KB | ||
| 1. Kafka Time Semantics.mp4 | 20 MB | ||
| 1. Kafka Time Semantics.srt | 7.9 KB | ||
| 1. Real-time Stream Processing - Requirement.mp4 | 25.4 MB | ||
| 1. Real-time Stream Processing - Requirement.srt | 8.6 KB | ||
| 1. Simple RESTful Kafka Producer.mp4 | 87.9 MB | ||
| 1. Simple RESTful Kafka Producer.srt | 16.7 KB | ||
| 1. Stream Listener Manual Testing.mp4 | 49.7 MB | ||
| 1. Stream Listener Manual Testing.srt | 9.7 KB | ||
| 1. Understanding Kafka Support in Spring.mp4 | 34.5 MB | ||
| 1 | 673.4 KB | ||
| 1. Understanding Kafka Support in Spring.srt | 9.9 KB | ||
| 2. Bonus Lecture Get Extra.html | 2.1 KB | ||
| 2. Course Prerequisite.mp4 | 12.1 MB | ||
| 2. Course Prerequisite.srt | 3 KB | ||
| 2. Creating Retail POS Simulator.mp4 | 17.3 MB | ||
| 2. Creating Retail POS Simulator.srt | 6.1 KB | ||
| 2. Creating your first Kafka Streams project - Mac.mp4 | 93 MB | ||
| 2. Creating your first Kafka Streams project - Mac.srt | 17.1 KB | ||
| 2. Creating your first Kafka Streams project - Windows.mp4 | 99.2 MB | ||
| 2. Creating your first Kafka Streams project - Windows.srt | 18.5 KB | ||
| 2. Deep Dive into KTable.mp4 | 75.6 MB | ||
| 2. Deep Dive into KTable.srt | 19 KB | ||
| 2. Implementing Exactly Once.mp4 | 93.6 MB | ||
| 2. Implementing Exactly Once.srt | 17.3 KB | ||
| 2. Introduction to Spring Cloud Streams.mp4 | 51.9 MB | ||
| 2. Introduction to Spring Cloud Streams.srt | 14 KB | ||
| 2. KStream to KStream Joins.srt | 15 KB | ||
| 2 | 488.4 KB | ||
| 2. KStream to KStream Joins.mp4 | 82.2 MB | ||
| 2. Processing JSON Message Stream.mp4 | 156.4 MB | ||
| 2. Processing JSON Message Stream.srt | 26.3 KB | ||
| 2. Stream Listeners Automating Test Cases.mp4 | 89.6 MB | ||
| 2. Stream Listeners Automating Test Cases.srt | 16.9 KB | ||
| 2. Windowing Aggregates.mp4 | 55.9 MB | ||
| 2. Windowing Aggregates.srt | 13 KB | ||
| 3. Computing Streaming Aggregates.mp4 | 68.9 MB | ||
| 3. Computing Streaming Aggregates.srt | 14.7 KB | ||
| 3. Functional Style of Converting Stream Listeners.mp4 | 77.6 MB | ||
| 3. Functional Style of Converting Stream Listeners.srt | 14.9 KB | ||
| 3. Introduction to Kafka Streams.mp4 | 33.2 MB | ||
| 3. Introduction to Kafka Streams.srt | 5.7 KB | ||
| 3. KTable to KTable Join.mp4 | 31.6 MB | ||
| 3. KTable to KTable Join.srt | 6.6 KB | ||
| 3. Let's Practice - A Complex Problem Statement.mp4 | 17.9 MB | ||
| 3. Let's Practice - A Complex Problem Statement.srt | 6.2 KB | ||
| 3. Producing JSON Messages.mp4 | 142.3 MB | ||
| 3. Producing JSON Messages.srt | 24.7 KB | ||
| 3. Real-life Serialization Scenarios.mp4 | 17.9 MB | ||
| 3. Real-life Serialization Scenarios.srt | 6.5 KB | ||
| 3. Setting Up Your Environment.mp4 | 16.3 MB | ||
| 3. Setting Up Your Environment.srt | 5.2 KB | ||
| 3. Tumbling Window Vs Hopping Time Window.mp4 | 18.6 MB | ||
| 3 | 337.9 KB | ||
| 3. Tumbling Window Vs Hopping Time Window.srt | 7.2 KB | ||
| 4. Aggregation Concepts.mp4 | 71.3 MB | ||
| 4. Aggregation Concepts.srt | 30 KB | ||
| 4. KStream to KTable Join.mp4 | 65.1 MB | ||
| 4. KStream to KTable Join.srt | 15.5 KB | ||
| 4. Processing AVRO message Stream.mp4 | 93.2 MB | ||
| 4. Processing AVRO message Stream.srt | 17.5 KB | ||
| 4. Producing AVRO Messages.mp4 | 126.7 MB | ||
| 4. Producing AVRO Messages.srt | 20.5 KB | ||
| 4. Session Windows.mp4 | 66.8 MB | ||
| 4. Session Windows.srt | 12.2 KB | ||
| 4. Source Code and Other Resources.html | 614.4 B | ||
| 4. Working with XML Inputs.mp4 | 42.8 MB | ||
| 4. Working with XML Inputs.srt | 8.8 KB | ||
| 4 | 32.2 KB | ||
| 5. Creating your starter project.mp4 | 57.9 MB | ||
| 5. Creating your starter project.srt | 11 KB | ||
| 5. Handling Errors and Exceptions.mp4 | 34.5 MB | ||
| 5. Handling Errors and Exceptions.srt | 7 KB | ||
| 5. Implementing Complex Aggregation.mp4 | 110 MB | ||
| 5. Implementing Complex Aggregation.srt | 24.7 KB | ||
| 5. Reducing A Kafka Stream.mp4 | 137.5 MB | ||
| 5. Reducing A Kafka Stream.srt | 24.8 KB | ||
| 5. Understanding Record Serialization.mp4 | 52.3 MB | ||
| 5. Understanding Record Serialization.srt | 14.5 KB | ||
| 5 | 849 KB | ||
| 6. Aggregating a Kafka Stream.mp4 | 86.9 MB | ||
| 6. Aggregating a Kafka Stream.srt | 15.1 KB | ||
| 6 | 2.7 KB | ||
| 6. KStream Methods.mp4 | 64.1 MB | ||
| 6. KStream Methods.srt | 15.5 KB | ||
| 6. Mixed Branching of a KStream.mp4 | 78.7 MB | ||
| 6. Mixed Branching of a KStream.srt | 14.1 KB | ||
| 7. Aggregation Challenges.mp4 | 31.1 MB | ||
| 7. Aggregation Challenges.srt | 6 KB | ||
| 7. Handling Poisson Pills.mp4 | 18.8 MB | ||
| 7. Handling Poisson Pills.srt | 6 KB | ||
| 8. KTable Aggregation.mp4 | 99 MB | ||
| 8. KTable Aggregation.srt | 18.9 KB | ||
| TutsNode.com.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
| 7 | 360.8 KB | ||
| 8 | 855.8 KB | ||
| 9 | 3.4 KB | ||
| 10 | 438.7 KB | ||
| 11 | 55.4 KB | ||
| 12 | 117.4 KB | ||
| 13 | 869.4 KB | ||
| 14 | 140.4 KB | ||
| 15 | 258 KB | ||
| 16 | 428.5 KB | ||
| 17 | 369.1 KB | ||
| 18 | 750.8 KB | ||
| 19 | 103.7 KB | ||
| 20 | 175.5 KB | ||
| 21 | 877 KB | ||
| 22 | 903.1 KB | ||
| 23 | 123.4 KB | ||
| 24 | 57.5 KB | ||
| 25 | 636.8 KB | ||
| 26 | 691.3 KB | ||
| 27 | 127 KB | ||
| 28 | 271.7 KB | ||
| 29 | 246.5 KB | ||
| 30 | 627.1 KB | ||
| 31 | 508.5 KB | ||
| 32 | 529.8 KB | ||
| 33 | 811 KB | ||
| 34 | 381 KB | ||
| 35 | 932.9 KB | ||
| 36 | 683.8 KB | ||
| 37 | 641 KB | ||
| 38 | 49.4 KB | ||
| 39 | 372.4 KB | ||
| 40 | 212.9 KB | ||
| 41 | 378.9 KB | ||
| 42 | 57.4 KB | ||
| 43 | 125.8 KB | ||
| 44 | 699 KB | ||
| 45 | 677.7 KB | ||
| 46 | 519.1 KB | ||
| 47 | 949.7 KB | ||
| ▲ 150 total files | |||
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
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.1 GB | freecoursewb | 3 months | 0 | 0 | |
|
Udemy - Apache Kafka Series - Confluent Schema Registry and REST Proxy Posted by
freecoursewb in Other
|
1.8 GB | freecoursewb | 4 months | 0 | 0 |
| 1.8 GB | freecoursewb | 1 year | 6 | 0 | |
| 699.3 MB | freecoursewb | 2 years | 5 | 0 | |
| 6.9 GB | fcs0310 | 3 years | 6 | 2 |
All Comments