Composable operations for efficient online processing of realtime and historic data streams using directed graphs.
Real-time data processing is a common requirement in many applications such as IoT, monitoring, telemetry systems, streaming analytics, financial trading, etc. In these applications, data is continuously generated and needs to be processed in real-time in order to extract insights and take decisions.
Algorithms processing continuous data streams are able to process data as it arrives using efficient online algorithms. Online algorithms update their state with each new data point and do not require the entire dataset to be loaded into memory. An update usually consists of a single data point. In the best case, the update is processed in constant time and takes constant memory.