Big data analysis refers to data analysis of huge-scale data. Big data refers to a collection of data that cannot be captured, managed and processed within a certain time range using conventional software tools. Data analysis is to extract The process of studying and summarizing data in detail to obtain useful information and form conclusions.
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.
Big data can be summarized as five Vs: Volume, Velocity, Variety, Value, and Veracity.
Big data is the hottest term in the IT industry nowadays, and the subsequent use of data warehouse, data security, data analysis, data mining, etc. around the commercial value of big data has gradually become a hot topic among industry professionals. Sought after profit focus. With the advent of the big data era, big data analysis has also emerged. So what is big data analysis?
Before understanding big data analysis, let us first understand what is data analysis?
Data analysis refers to using appropriate statistical methods to analyze a large amount of first-hand and second-hand information collected in order to maximize the development of the functions of the data and bring into play the role of the data. It is the process of studying and summarizing data in detail in order to extract useful information and form conclusions.
Data analysis is closely related to data mining, but data mining tends to focus on larger data sets, with less emphasis on inference, and often uses data originally collected for a different purpose. The data.
The purpose of data analysis is to concentrate, extract and refine the information hidden in a large amount of seemingly messy data in order to find out the inherent laws of the object under study.
Big data analysis refers to the analysis of huge amounts of data.
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