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1
Setting up Kafka Broker in KRaft Mode
2
Setting up Minio
3
Producing data into Kafka
4
Acquiring Secret and Access Key for S3
5
Creating S3 Bucket Event Listener for Lakehouse
6
Data Preview and Results
7
Outro
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn to design, implement, and maintain secure, scalable, and cost-effective lakehouse architectures in this comprehensive video tutorial. Explore advanced techniques using Apache Spark, Apache Kafka, Apache Flink, Delta Lake, AWS, and open-source tools to unlock data's full potential through analytics and machine learning. Follow step-by-step instructions to set up a Kafka Broker in KRaft mode, configure Minio, produce data into Kafka, acquire S3 access credentials, create an S3 Bucket Event Listener for the lakehouse, and preview the resulting data. Gain practical insights into real-time streaming and data engineering best practices for building robust, scalable data solutions.

Realtime Streaming with Data Lakehouse - End-to-End Data Engineering Project

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