Big data refers to a collection of data that cannot be captured, managed, and processed within a certain time range using conventional software tools. The five characteristics of big data: 1. Large amount; 2. High speed; 3. Diversity; 4. Low value density; 5. Authenticity.
Big data refers to a collection of data that cannot be captured, managed and processed within a certain time range using conventional software tools. It requires new processing. Models can provide massive, high-growth and diversified information assets with stronger decision-making power, insight discovery and process optimization capabilities. It has four major characteristics: massive data scale, fast data flow, diverse data types and low value density.
The 5V characteristics of big data (proposed by IBM): Volume, Velocity, Variety, Value, and Veracity.
The core value of big data lies in the storage and analysis of massive data; 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".
The applications that big data can achieve can be summarized in two directions, one is precise customization, and the second is prediction. For example, if you search for the same content through a search engine, everyone's results will be very different. Another example is precision marketing, Baidu's promotion, Taobao's recommendation, or when you go to a place, it will automatically recommend surrounding consumption facilities to you, etc.
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