Description
Apache Kafka – Real-time Stream Processing (Master Class) Apache Kafka software engineering training course published by Udemy Online Academy. This training does not require any knowledge of Apache Kafka software. This training covers all chapters and topics in full so that you have the knowledge required to use Apache Kafka software. In this training course, you will learn the main concepts of stream processing and then use this knowledge in stream programming in Kafka. This course’s approach to teaching you complex subject matter is very special and helps us to leverage your skills and knowledge to understand and justify the concepts and topics taught in this training course.
This course is intended for software developers who want to develop a stream processing application using the Kafka streaming library, data engineers and architects who are tasked with designing and building an organized data center, and Java programmers who want to learn the topics it recommends using the Apache Kafka software to build and run stream applications. This valuable training course is example-oriented and you will be shown many examples throughout this course. All the sample codes can be found in the learning parts of this training course.
What you will learn in Apache Kafka – Real-Time Stream Processing (Master Class):
- Necessary knowledge to use Apache Kafka software
- The main concepts of stream processing
- Design, build, and test stream processing applications using the Kafka Stream library.
- And…
Course specifications
Editor: Udemy
Lecturers: Prashant Kumar Pandey and Learning Journal
Language: English
Level: Introduction to Advanced
Number of lessons: 78
Duration: 10 hours and 58 minutes
Course topic on 2023/1
Apache Kafka Prerequisites – Real-time Stream Processing (Master Class).
Programming skills with the Java programming language
Familiarity with Java 8 Lambda
A recent 64-bit Windows/Mac/Linux machine with 4GB RAM (8GB recommended)
Pictures
Apache Kafka – Real-time stream processing introductory video (master class).
installation Guide
After extracting, watch the video with your favorite player.
English subtitles
Quality: 720p
Download link
File password(s): free download software
Size
2.7GB