Redpanda's new Iceberg Topics feature simplifies the integration of streaming data with analytics by allowing users to manage data flows into Iceberg tables effortlessly. This setup involves creating a local Iceberg Development Environment within Kubernetes, combining Redpanda, Apache Polaris, MinIO, Postgres, and DuckDB to facilitate a complete end-to-end data processing flow without relying on external cloud services. Users can configure Redpanda topics to write data into Iceberg with minimal effort, and the project includes three demos showcasing how to handle Avro messages, utilize the latest schema mode, and store raw bytes in Iceberg tables. The environment is designed to be easy to set up, using a single script to deploy necessary components, making it a convenient launchpad for developing custom data pipelines.