In The Age of Big Data, co-authored by Victor Meyer-Schoenberg and Kenneth Cookeye, big data means that all data are used for analysis and processing, and there is no shortcut to random analysis (sampling survey). 4V characteristics of big data: volume (mass), speed (high speed), diversity (diversity) and value (value).
Gartner, a research institute of "big data", gives such a definition. "Big data" is a massive, high-growth and diversified information asset, which needs a new processing mode to have stronger decision-making, insight and discovery, and process optimization capabilities.
According to the definition of Wikipedia, big data refers to a collection of data that cannot be captured, managed and processed by conventional software tools within an affordable time range.
The strategic significance of big data technology lies not in mastering huge data information, but in specialized processing of these meaningful data. In other words, if big data is compared to an industry, then the key to the profitability of this industry lies in improving the "processing ability" of data and realizing the "value-added" of data through "processing".
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