Big Data as the current hottest IT industry vocabulary, along with this, data warehousing, data security, data analytics, data mining and other business value around the use of big data has gradually become the focus of the industry to pursue the interests of the focus. With the arrival of the big data era, big data analytics also came into being. So what is big data analytics?

Data analytics allows for better interpretation of data, and predictive analytics allows analysts to make predictions based on visual analytics and the results of data analysis. _?

Big data analysis and storage and management of data are some of the best practices for the level of data analysis. Analyzing data through step-by-step processes and tools ensures pre-defined, high-quality results. _?

Whether the user is an expert in the field of data analytics or a casual user, as a data analytics tool, only data visualization is available. Visualization allows you to visualize the data and let the data speak for itself so that your customers can 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

6 fundamentals of big data analysis