Building a Telegram Bot Powered by Apache Kafka and ksqlDB

The text explores the use of Apache Kafka and ksqlDB to process and query streaming data without relying on external datastores. It describes a system that captures Wi-Fi packets and processes them to provide real-time information about connected devices via a Telegram bot, showcasing ksqlDB's ability to create stateful aggregates and perform pull and push queries. The approach highlights Kafka's role as a distributed, scalable, and fault-tolerant platform that can serve as both a message broker and a data store, further enhanced by ksqlDB's SQL-based stream processing capabilities. The article also delves into integrating MongoDB with Kafka to enrich data streams and emphasizes the flexibility of event-driven architectures in building systems that respond to real-time data, demonstrating how ksqlDB's materialized views and integration with other data sources can simplify complex query operations and data management.