Real-time Data

Definition updated on November 2023

What is real-time data processing?

Analyzing data in real time to produce insights is known as real-time data. Raw data is received and analyzed right away to enable almost instantaneous decision-making. It is made available rather than being preserved to encourage insights as soon as feasible, enhancing organizations’ profitability, efficiency, and business outcomes. A real-time data processing system may enter quickly changing data and produce results almost instantly, making it simple to observe changes over time in such a system. Because it requires a constant stream of input data to produce the output needed at that precise instant, real-time data processing is also known as stream processing. The processing of online orders, making reservations and bookings online, and real-time fraud detection for credit cards are all examples. The main advantage of real-time data processing is the instantaneous output from input data, which guarantees that everything is current. On the other side, batch processing results in data that is no longer timely.

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