We introduce a cutting-edge streaming technology that is scalable, efficient in transmitting real-time data to Data Lake applications. We explain the key components of Confluent Kafka, the brokers, the messages, the partitions, the topics etc. We further explain the best design practices and things to consider while designing Confluent Kafka based streaming applications. We have also added details on the differences between Apache Kafka and Confluent Kafka. We have included code snippet on how to configure the jaas config file with appropriate values. Finally, we conclude how the Confluent Kafka based streaming applications are used in healthcare industry, with real-world use cases.