Data streaming is crucial for modern businesses to ensure real-time data reflection across systems, particularly in retail where inventory accuracy and operational efficiency are paramount. Platforms like Redpanda facilitate this by serving as a unified engine for streaming data from various sources through Kafka-compatible connectors, such as those for MongoDB. The text details a tutorial on setting up a data streaming system using Redpanda and MongoDB, leveraging Docker for containerization and Kafka Connect for data integration. The guide explains the installation and configuration of Redpanda, MongoDB, and Kafka Connect, and demonstrates how to consume and test real-time data streams from MongoDB collections. By subscribing to the change feed from MongoDB, companies can enhance efficiency and customer satisfaction through timely data updates across departments. This tutorial opens up possibilities for using data streaming with technologies like MongoDB and Redpanda for various applications, encouraging exploration of additional integrations with platforms like Snowflake and Google Cloud Storage.