The rise of the Internet of Things (IoT) has expanded the scope of networks from merely connecting computers and servers to integrating a wide array of devices such as sensors, appliances, and vehicles, necessitating real-time data communication. This evolution has fostered the adoption of complex event processing (CEP) frameworks across various sectors like healthcare, manufacturing, and agriculture. Modern data pipelines for IoT and event data typically involve components such as data sources, ingestion layers, processing layers, storage layers, and output/integration platforms. Tools like ClickHouse and Snowflake are utilized for their complementary strengths in real-time analysis and scalable storage, respectively. Redpanda and Redpanda Connect facilitate the seamless integration and streaming of data between these systems, offering robust solutions for building data pipelines that cater to both short-term analysis and long-term retention. The guide highlights the importance of schema design and optimization, especially in time-series data contexts, and demonstrates how real-time processing and historical analysis can be achieved using these technologies, with applications spanning from healthcare monitoring to logistics and smart city infrastructure.