The strategic significance of big data technology lies not in mastering huge data information, but in professional processing of these meaningful data; in other words, if big data is compared to an industry, then this The key to achieving profitability in this industry is to improve the "processing capabilities" of data and achieve the "value-added" of data through "processing".
The strategic significance of big data technology lies not in mastering huge data information, but in professional processing of these meaningful data. In other words, if big data is compared to an industry, then the key to making this industry profitable is to improve the "processing capabilities" of data and achieve the "value-added" of data through "processing".
Related introduction:
Big data (big data), an IT industry term, refers to a collection of data that cannot be captured, managed and processed within a certain time range using conventional software tools. It is a need The new processing model can produce massive, high-growth and diversified information assets with stronger decision-making power, insight discovery and process optimization capabilities.
In the "Big Data Era" written by Victor Meier-Schoenberg and Kenneth Cukier, big data refers to the use of all data instead of shortcuts such as random analysis (sampling survey). Analysis and processing. The 5V characteristics of big data (proposed by IBM): Volume, Velocity, Variety, Value, and Veracity.
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