Apache Kafka Series – KSQL on ksqlDB for Stream Processing ! | Udemy


Apache Kafka Series – KSQL on ksqlDB for Stream Processing ! | Udemy
English | Size: 1.21 GB
Genre: eLearning

What you’ll learn
Learn all the fundamentals of KSQL & ksqlDB
Create a taxi booking application
Create Streams, Tables, Generate Data with ksql-datagen
Advanced Operations: Joins, Windowing, Aggregations, Geospatial
Deal with all kind of data formats: CSV, JSON & Avro
Create and use UDF, use UDAF
Moving KSQL to production with tips

The latest release in the Apache Kafka Series!

Confluent ksqlDB has become an increasingly popular stream processing framework built upon Kafka Streams. It enables developers to write real-time stream processing applications with the ease of SQL. No Kafka Streams knowledge required!

For this course, I have partnered with KSQL expert Simon Aubury to bring you the ultimate KSQL course.

We’ll take a project based approach for this course. You’ll learn all the most important KSQL features by gradually building a KSQL taxi booking application!

KSQL Setup

KSQL Command Line

Streams with CSV, JSON and AVRO

Use the KSQL-Datagen utility

Manipulate streams

Create Tables

Perform Joins

Advanced KSQL: Rekeying, Merging Streams, Windowing, Geospatial

Extending KSQL: UDF & UDAF

Moving to Production

KSQL Operations

Note: To best enjoy this course, a Mac or Linux machine is preferred. Windows users will have special instructions and would be better by leveraging a Linux VM.

This is the course that could improve your career!

KSQL is a skill in high demand and there are not enough people to fulfill all the open positions. You can boost your income, take on new roles and fun challenges. Many of my students are now the Kafka experts of their companies!

I hope to see you inside the course!

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Note: Looking to learn the Apache Kafka basics? then take on Learn Kafka for Beginners v2. Then you’ll be ready to take this course afterwards!

Happy learning!

Who this course is for:
Developers who want to learn and write their first KSQL applications
Architects who want to understand how KSQL fits into their solution architecture
Anyone looking to learn more about KSQL

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