Data Science and Machine Learning Applications

Real-Time Data Streaming

Real-time data streaming and analytics involve processing and analysing data as it is generated, rather than after the fact. This allows for immediate insights and actions, crucial for applications that require timely responses, such as fraud detection, live traffic monitoring, or stock trading. Technologies like Apache Kafka and Apache Flink facilitate real-time data processing by handling large volumes of data streams efficiently and providing actionable insights on the fly.