Real-time data processing is essential for modern applications, as it ensures that insights are timely and accurate. The open-source project Dozer now provides a runtime environment that allows developers to execute lambda functions or custom user-defined functions based on specific data conditions. This new functionality allows for more dynamic and event-driven applications, as Lambda functions can be triggered based on specific data change conditions. Just imagine triggering a Twilio notification based on a SQL statement (data change condition)!
In this blog post, we will discuss how you can use Dozer to respond to real-time data changes by triggering functions based on data conditions.
In this example, we will create a React app that generates a real-time graph based on room temperature data (room temperature monitoring). We will use the pydozer_log module to react to data change conditions and trigger a Twilio message if the room temperature goes above 22.9°C.