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

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.

Setting up Kafka Broker in KRaft Mode
Setting up Minio
Producing data into Kafka
Acquiring Secret and Access Key for S3
Creating S3 Bucket Event Listener for Lakehouse
Data Preview and Results
Outro