Nowadays many people are interested in big data analytics, what is big data analytics? Big data analytics refers to analyzing large amounts of data . There are four significant characteristics of big data, big data, fast, variety, and real data . Big data is known as today's most promising IT language, successive data mining, data security, data analytics, data storage and other big data-centered business value of the use of the industry to pursue the interests of the focus.

Data analytics enables better interpretation of data, and predictive analytics enables analysts to make predictive speculations based on visual analytics and results from data analysis. Analyzing and storing big data and managing data are best practices at the level of data analytics. Analyzing data through step-by-step processes and tools guarantees pre-defined, high-quality results. Regardless of whether the user is an expert in the field of data analysis or a casual user, only data visualization is available as a data analysis tool. Visualization allows the data to be presented intuitively, allowing the data to speak for itself and allowing the customer to get the desired results.

Big Data is no longer as in previous years to give people the feeling of nothingness, now the most important thing is to analyze big data, only the analysis of the data to bring the most important value to the user, more and more people are beginning to associate what is the analysis of big data, so the way the analysis of big data in the IT field as a whole is particularly important