Learn how to build a customer 360 view with Apache Flink and Redpanda — a leaner and easier-to-use alternative to Apache Kafka.

Redpanda

Apache Flink and Redpanda can be combined to build a real-time Customer 360 view for telecommunications companies. The tutorial walks through setting up Redpanda in Docker, generating simulated telecom customer data with Python, creating a Flink project with Maven, consuming streaming data from Redpanda topics, and using Flink's Table API to perform SQL-like aggregations on customer data streams. The implementation demonstrates how to process unbounded data streams to create unified customer profiles that aggregate interaction history, usage patterns, and service details for personalized customer experiences.

Building a real-time Customer 360 solution for Telco with Flink

4. Run a Flink application that processes data from a Redpanda topic

5. Implement data analysis using Flink's Table API