Types of real-time datasets

Real-time datasets are collections of data that are continuously updated or streamed in real time, often with minimal or no delay. These datasets are valuable for various applications, including monitoring, analysis, and decision-making, in fields such as finance, healthcare, and transportation. Here are some common types of real-time datasets:

• Financial market data: Real-time financial datasets provide up-to-the-second information about stock prices, currency exchange rates, commodities, and market indices. They are essential for traders, analysts, and investors to make timely investment decisions.
• IoT (Internet of Things) Data: IoT devices generate vast amounts of real-time data, including sensor readings, temperature measurements, and GPS coordinates. These datasets are used in industries like smart cities, manufacturing, agriculture, and healthcare for monitoring and control.
• Social media feeds: Real-time social media datasets include...