👉 Streaming engineering is a critical component of modern data processing systems, focusing on the efficient and scalable delivery of data streams in real-time. It involves designing and implementing systems that can ingest, process, and distribute large volumes of data continuously and reliably. Key aspects include handling high-throughput data, ensuring low-latency processing, managing stateful operations, and integrating with various data sources and sinks. Streaming platforms like Apache Kafka, Apache Flink, and Apache Storm are commonly used to build these systems, providing tools for data ingestion, transformation, and analytics. The goal is to enable real-time insights and decision-making by processing data as it arrives, rather than in batches, thus supporting applications such as fraud detection, real-time analytics, and IoT data processing.
