Basic characteristics of data: 1. Volume (Volume), the size of the data determines the value and potential information of the data considered; 2. Variety (Variety), the diversity of data types; 3. Speed ( Velocity) refers to the speed of obtaining data; 4. Variability (Variability), which hinders the process of processing and effectively managing data; 5. Authenticity, the quality of data; 6. Complexity, the huge amount of data comes from multiple channels; 7. Value: rational use of big data to create high value at low cost.
#The operating environment of this article: Windows 7 system, Dell G3 computer.
Data is the result of facts or observations, a logical summary of objective things, and an unprocessed raw material used to represent objective things.
Data can be continuous values, such as sounds and images, which are called analog data; they can also be discrete, such as symbols and text, which are called digital data.
The basic characteristics of data: capacity, variety, speed, variability, authenticity, complexity, and value.
Characteristics of big data:
Capacity (Volume): The size of the data determines the value and potential information of the data considered;
Variety: the diversity of data types;
Velocity: refers to the speed of obtaining data;
Variability (Variability): hinders the process of processing and effectively managing data;
Veracity (Veracity): the quality of data
Complexity: Huge amount of data, sourced from multiple channels
Value: Reasonable use of big data to create high value at low cost
The structure of big data:
Big data includes structured, semi-structured and unstructured data. Unstructured data is increasingly becoming main part of the data. According to an IDC survey report: 80% of data in enterprises is unstructured data, and this data is growing exponentially by 60% every year.
Big data is just a manifestation or characteristic of the development of the Internet to the present stage. There is no need to mythologise it or maintain awe of it. Against the background of technological innovation represented by cloud computing, these Data that originally seemed difficult to collect and use is beginning to be easily utilized. Through continuous innovation in all walks of life, big data will gradually create more value for mankind.
Secondly, if you want to systematically understand big data, you must decompose it comprehensively and carefully, starting from three levels:
The first level is theory. Theory is the only way of cognition, and it is also the baseline that is widely recognized and disseminated. Here, we will understand the industry’s overall description and characterization of big data from the definition of big data characteristics; we will deeply analyze the preciousness of big data from the discussion of the value of big data; gain insight into the development trend of big data; and start from the special and important issue of big data privacy. Examine the long-term game between people and data from a perspective.
The second level is technology. Technology is the means to embody the value of big data and the cornerstone of progress. Here, the entire process of big data from collection, processing, storage to result formation will be explained from the perspective of the development of cloud computing, distributed processing technology, storage technology and perception technology.
The third level is practice, and practice is the ultimate value manifestation of big data. Here, we will describe the beautiful scene that big data has shown and the blueprint for its upcoming realization from four aspects: Internet big data, government big data, enterprise big data and personal big data.
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