How do Data Engineers handle real-time data streaming?

Data Engineers work with real-time data streaming using frameworks like Apache Kafka, Apache Flink, or Apache Spark for handling and processing streams. These can also be used in the collection, transformation, and storing of huge amounts of data in real time by the engineers. Systems designed by Engineers support low-latency processing, meaning responses to changes in data are pretty immediate. They design data pipelines that are able to consume, process, and analyze real-time events, which play an important role in applications such as fraud detection and monitoring, recommendation engines.