Real-time data processing enables organizations to analyze and act on data as it is generated for faster decision-making. It involves capturing, processing, and analyzing data in real time to derive actionable insights and drive immediate responses to business events. 

Real-time data processing architectures leverage technologies such as stream processing frameworks, event-driven architectures, and in-memory databases to achieve low-latency data processing at scale. 

Our data engineering consulting services include designing and implementing real-time data processing pipelines tailored to the specific needs and objectives of each organisation. From data streaming and event processing to complex event processing (CEP) and anomaly detection, we assist clients in harnessing the power of real-time data processing to gain competitive advantage and drive business innovation.