Apache Kafka Series - KSQL for Stream Processing - Hands On
Link : Apache Kafka Series - KSQL for Stream Processing - Hands On
Get Started With Confluent KSQL: Query Your Streams Without Writing Code. Reliable, Flexible, & Scalable – Confluent is a Complete Event Streaming Platform. Deployable in Minutes. Reduce Ops Burden. Streaming Data Service BESTSELLER
4.7 (161 ratings)1,835 students enrolled
Created by Stephane Maarek | AWS Certified Solutions Architect & Developer, Simon Aubury
What you'll learn
- Learn all the fundamentals of KSQL
- 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
Requirements
- Fundamental understanding of Kafka (see beginners course)
- Kafka Streams knowledge is a plus (but not a requirement)
The latest release in the Apache Kafka Series!
Confluent KSQL 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.
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