What is event streaming?
This blog is your go-to guide for understanding event streaming. Discover how it works, why it matters, and how businesses leverage real-time data insights to stay ahead. From real-world applications in industries like finance and healthcare to tools like Apache Kafka.
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An event stream is a steady flow of data about changes happening in a system. It includes information about the time and order of events. Anything important for a business to monitor can be part of an event stream. For example, imagine a logistics company tracking the real-time locations of its shipments around the world.
Kafka and Flink are two popular technologies. Apache Kafka is where your event streams are stored. Each event is added to a Kafka topic, where it can be read and used by other systems that need to respond to those events.
The main difference between data streaming and event streaming lies in the type of information being streamed and how it is processed: Data Streaming: This refers to the continuous flow of data in real-time. It involves the transmission of large volumes of data from one point to another, often for analytics, storage, or processing. Data streaming is more focused on the movement of raw data, such as logs, metrics, or sensor readings, and may not always be tied to specific actions or events. Event Streaming: Event streaming, on the other hand, focuses on the streaming of "events" — changes or actions that happen in a system. An event represents a specific occurrence, such as a user making a purchase, a temperature sensor reading, or a transaction being completed. Event streaming systems, like Apache Kafka, capture, store, and process these events in real-time, allowing systems to respond to them instantly.
