The incorrect description of the characteristics of the data is as follows:
The incorrect description of the characteristics of the data is that the data value density is high.
Big data, or huge data, refers to the amount of data involved that is so large that it cannot be captured, managed, processed, and organized into helpful information within a reasonable time through mainstream software tools. Information for a more positive purpose in corporate business decisions.
In "The Age of Big Data" written by Victor Meier-Schoenberg and Kenneth Cukier, big data refers to the use of all data without shortcuts such as random analysis (sampling survey). Perform analysis and processing. The 5V characteristics of big data (proposed by IBM): Volume, Velocity, Variety, Value, and Veracity.
"Big data" requires new processing models to have stronger decision-making power, insight discovery and process optimization capabilities to adapt to the massive, high growth rate and diversified information assets.
A data collection that is so large that its acquisition, storage, management, and analysis greatly exceed the capabilities of traditional database software tools. It has massive data scale, rapid data flow, diverse data types, and Four characteristics of low value density.
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 profitability for this industry lies in improving the "processing capabilities" of data and achieving the "value-added" of data through "processing".
Characteristics of the big data investigation method:
1. The big data investigation method selects existing data.
2. The big data survey method no longer directly contacts the survey subjects, but indirectly obtains the survey subjects’ data using big data platforms and big data services as intermediaries.
3. The big data survey method can conduct a census of the overall data.