Data streams are continuous flows of data that are processed in real-time to extract insights and make decisions without storing the entire dataset. They are crucial in applications where timely data processing is essential, such as financial markets, IoT devices, and social media analytics.

Data Streams

Data streams

continuous flows of data

Real-time data processing involves continuously inputting, processing, and outputting data with minimal latency to provide insights and actions as events occur. This approach is essential for applications that require immediate responses, such as financial trading systems, autonomous vehicles, and real-time analytics platforms.

Real-time Data Processing

extract insights

make decisions

storing the entire dataset

timely data processing

Financial markets are platforms where individuals and institutions can trade financial securities, commodities, and other fungible items at prices that reflect supply and demand. They play a crucial role in the economy by facilitating liquidity, price discovery, and the efficient allocation of resources.

financial markets

IoT devices

Social media analytics involves the collection and analysis of data from social media platforms to inform business decisions, understand consumer behavior, and measure the effectiveness of marketing strategies. It leverages various tools and techniques to extract actionable insights from vast amounts of unstructured data generated by user interactions, posts, and engagement metrics.

social media analytics

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Understanding Data Streams in Real-Time Applications

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Maintaining the Flow and Integrity of Data Streams

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