Analysis of big data to tamp the foundation before

Currently, with the development of the era of big data, the application of big data is becoming increasingly widespread, big data is mainly those with a large amount of data, fast speed, there are many types of data as well as not all the data are valuable, how to analyze the big data is the computer industry's problem, but also now more people's topic, data, value, security and other issues have been more and more people pay attention to. value, security and other issues by more and more people's attention, so now are based on what basis to analyze big data.

Basic one: look at the map

is the use of some chart types, some data through different indicators and base for comparison, big data is not the only do big data analysis of the personnel will see, netizens as a common user can see, so the requirements of the analysis of big data is also to be accepted by ordinary users, intuitive, visualization of big data analysis quickly can be read by more users.

Foundation two: data statistics

Even the final charts are based on the analysis of data statistics, through a variety of data algorithms, big data can be presented according to different types of different data characteristics, before the statistics, to derive the value of the data at a deeper level, and because of the large amount of data, if some simple algorithms, or agree with the statistics is not possible to quickly realize, through the data mining, the data analysis of big data can be used as a tool to analyze the data. may be quickly realized, through data mining algorithms can quickly get the characteristics of the data and the value of the data.

Foundation three: predictive analytics

This is also one of the value of the use of big data analytics, through the analysis of existing data, predict the future development trend of the data, better for the development of the industry to provide predictive data, predictive analytics is mainly through the mining of the characteristics of the data, the establishment of a scientific data model, with new data, to derive a new prediction results as a reference for the development process. reference.

Foundation 4: Semantic Engine

Big data, because of its low density of value distribution, to extract the value of different data and its characteristics from the huge data system is a challenging task, and because the structure of the data is not all the same, as well as regular, this time using some analytical tools to analyze the data, you need to go through the key words or representative sentences from the big data. representative sentences, from the big data to extract the corresponding valuable data for categorization.

Foundation 5: efficient data management

How about the quality of the data, the results of the analysis of big data is not the same as the real response to the data situation, which is to test the results of the analysis of big data is also an important aspect of the data, but also determines whether the data is really valuable, can not be extracted from the high quality of the data, which requires effective management of the data.

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