Apache Kafka Series – KSQL on ksqlDB for Stream Processing!

Apache Kafka Series - KSQL on ksqlDB for Stream Processing !

Description

Apache Kafka Series – KSQL on ksqlDB for Stream Processing! The training course on the Apache Kafka streaming data processing platform and working with the KSQL engine and ksqlDB databases for data stream processing is published by Udemy Academy. Confluent ksqlDB is one of the most popular streaming data processing frameworks designed based on Kafka Streams. This framework enables developers to easily and without any background knowledge in the field of Kafka Streams develop applications for real-time processing of streaming data and develop their own unique processing and analysis systems. This training course is completely project-oriented and practical, and during the training process, you will develop an online taxi application using the KSQL engine.

It is recommended to use Linux or Mac operating system to complete this training course. Windows operating system can also be used, but before starting, you need to install some emulators and virtualizers.

What is in the training course Apache Kafka Series – KSQL on ksqlDB for Stream Processing! You will learn:

  • Basic installation of KSQL
  • KSQL command line
  • CSV, JSON and AVRO streams
  • Working with the KSQL-Datagen tool
  • Processing and editing of live information streams
  • Making tables
  • Advanced KSQL
  • Merging and combining information streams
  • KSQL operations
  • made UDF And UDAF
  • Internet taxi application development

Course details

Publisher: Yudmi
teacher: Stephane Maarek ,Simon Aubury And Conductor Kafkademy
English language
Education level: introductory
Number of courses: 36
Training duration: 3 hours and 50 minutes

Course topics on 3/2023

Course prerequisites

Fundamental understanding of Kafka (see beginners course)
Kafka Streams knowledge is a plus (but not a requirement)

Course images

Apache Kafka Series - KSQL on ksqlDB for Stream Processing!

Course introduction video

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download the course – 931 MB

Password file(s): www.downloadly.ir

Size

931 MB

4.6/5 – (872 points)

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