Apache Kafka + KSQL Live Demo (Video Recording) using CSV, JSON, Apache Avro

  • 1 minute read
Apache Kafka + KSQL Live Demo using CSV, JSON, Apache Avro. 10min live demo to get introduced to KSQL – the streaming SQL engine for Apache Kafka. Write and deploy SQL queries for stream processing instead of source code.
Total
0
Shares
0
0
0
Share
0 people shared the story
0
0
0
0

KSQL is the open-source, Apache 2.0 licensed streaming SQL engine on top of Apache Kafka from Confluent. KSQL makes stream processing available to everyone. Even though it is simple to use because there is no need to write source code, KSQL is built for mission-critical and scalable production deployments (using Kafka Streams under the hood).

Live Demo – KSQL with CSV, JSON and Apache Avro

The following video shows a live demo using Delimited, JSON and Avro data to create STREAMs and TABLEs for continuous stream processing of events in Apache Kafka:

YouTube

By loading the video, you agree to YouTube’s privacy policy.
Learn more

Load video

 

Total
0
Shares
Share 0
Tweet 0
Pin it 0

Dont‘ miss my next post. Subscribe!

We don’t spam! Read our privacy policy for more info.
If you have issues with the registration, please try a private browser tab / incognito mode. If it doesn't help, write me: kontakt@kai-waehner.de

Related Tags

builds cloud-native event streaming infrastructures for real-time data processing and analytics

Leave a Reply
You May Also Like
How to do Error Handling in Data Streaming
Read More
  • 68.8K views
  • 15 minute read

Error Handling via Dead Letter Queue in Apache Kafka

Recognizing and handling errors is essential for any reliable data streaming pipeline. This blog post explores best practices for implementing error handling using a Dead Letter Queue in Apache Kafka infrastructure. The options include a custom implementation, Kafka Streams, Kafka Connect, the Spring framework, and the Parallel Consumer. Real-world case studies show how Uber, CrowdStrike, Santander Bank, and Robinhood build reliable real-time error handling at an extreme scale.
Read More
0
0
0