A Customer 360 view provides a comprehensive profile of a customer by integrating data from various sources to understand their behavior, preferences, and needs, which is particularly useful in the telecommunications industry. This approach allows agents to access a customer's interaction history and service details to offer personalized solutions and address issues efficiently. Implementing a Customer 360 view can be achieved using Apache Flink and Redpanda, a Kafka alternative, for real-time data streaming and processing. Redpanda offers compatibility with Kafka APIs, making it a streamlined option for developers, while Flink processes and analyzes unbounded data streams for real-time analytics. This setup involves configuring infrastructure with Docker and Redpanda, using Flink for data processing, and employing Python scripts for data simulation. By integrating Flink's Table API for advanced data analysis and aggregation, telecommunications companies can gain insights into customer usage patterns, enabling personalized marketing and service enhancements, ultimately improving customer satisfaction and engagement.