Real-time Data Streaming
Real-time data streaming is the process of continuously collecting and processing data in real-time as it is generated. This involves the use of specialized software and hardware to ingest, process, and analyze data as it is produced, allowing for immediate insights and actions to be taken. Real-time data streaming is commonly used in applications such as financial trading, fraud detection, and IoT devices, where timely and accurate data is critical for decision-making. The process involves several steps, including data ingestion, processing, and analysis, and often involves the use of distributed systems and parallel processing to handle large volumes of data in real-time.
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