In 2024, businesses increasingly rely on real-time data for decision-making, driven by the growing adoption of IoT devices, streaming platforms, and customer-centric applications. Traditional batch processing is giving way to streaming architectures that enable organizations to act on data instantly.
Frameworks like Apache Kafka, Apache Flink, and cloud-native solutions have matured significantly, making real-time analytics accessible even for mid-sized enterprises. This shift empowers businesses to improve customer experience, reduce latency in operations, and gain a competitive edge. Data engineers are now expected to design and maintain scalable, low-latency pipelines to support this evolution.
