Streaming architectures

Streaming architectures are designed to handle the continuous and high-velocity nature of streaming data. They typically consist of three key components:

• Streaming sources: These are the origins of the streaming data, such as IoT devices, sensors, logs, social media feeds, or messaging systems. Streaming sources continuously produce and emit data in real time.
• A streaming processing engine: The streaming processing engine is responsible for ingesting, processing, and analyzing streaming data. It provides the necessary infrastructure and computational capabilities to handle the continuous and incremental nature of streaming data.
• Streaming sinks: Streaming sinks are destinations where the processed data is stored, visualized, or acted upon. They can be databases, data warehouses, dashboards, or external systems that consume the processed data.

There are various streaming architectures, including the following:

• Event-driven architecture...