Real-Time Big Data

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What Does Real-Time Big Data Mean?

It is critical for modern and agile enterprises to extract information from operational data in real time. Thus, real-time big data extraction proves to be beneficial in boosting revenue, reducing operational costs and enhancing efficiency overall. Real-time big data has numerous advantages for enterprises. It works by helping them make well-informed decisions, unveil new opportunities and gain a new dimension of insight.

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Techopedia Explains Real-Time Big Data

Real-time big data is not only about storing petabytes of data in a warehouse. Real-time big data helps by enabling organizations to do something meaningful from the extracted data quickly and cost-effectively. It can help organizations detect fraud while someone is swiping a credit card or placing an order on a website. It works by combining and analyzing the data, thus allowing well-informed decisions to be made at the right time and at the right place.

It governs the use of new techniques through which the analysis could be performed on large data sets. All this is possible through various software frameworks associated with real-time big data.

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Margaret Rouse
Technology Expert
Margaret Rouse
Technology Expert

Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.