A (Stream Processing) Recipe for Thankfulness

Confluent introduced a Thanksgiving-themed Stream Processing Use Case Recipe for real-time survey response analysis using Apache Kafka, ksqlDB, and Confluent Cloud. The recipe explains how survey response and respondent data can be ingested into Kafka through source connectors such as the ServiceNow Source Connector, modeled as streams and tables, protected through respondent-data masking, joined, transformed, and aggregated to generate timely insights. It includes sample data for users without existing survey datasets and emphasizes that rapid analysis helps organizations respond before feedback loses relevance. To demonstrate how the approach can be customized, the author built a Telegram survey bot that consumes questions from a Kafka topic, collects friends’ pie preferences, formats responses with Python, sends them back to Kafka, and enables live aggregation of the results for a Friendsgiving dessert decision.

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