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The specifics of big data analysis can be divided into these steps?
The specifics of big data analysis can be divided into these steps, as follows:

1. Data acquisition: the need to grasp the business understanding of the problem, transformed into a data problem to be solved, to put it bluntly is the need for which data, from which point of view to analyze, define the problem, and then data collection. In this way, data analysts need to have structured logical thinking.

2. Data processing: data processing needs to master efficient tools, such as: Excel basics, commonly used functions and formulas, pivot tables, VBA program development and other essential; followed by Oracle and SQL sever. this is an indispensable skill for the analysis of enterprise big data; there are also distributed databases such as Hadoop, should be mastered.

3. Analyzing data: analyzing data requires all kinds of statistical analysis models, such as association rules, clustering, classification, predictive modeling, etc. SPSS, SAS, Python, R and other tools, the more the better. Dane Education Big Data Cloud Computing course system, the content is more complete, deep technology, involving JavaEE architecture level technology, distributed high concurrency technology, cloud computing architecture technology, cloud computing technology, cloud computing technology, cloud computing architecture technology and so on.

4. Data presentation: visualization tools, there are open source Tableau available, there are also some commercial BI software, according to the actual situation can be mastered.

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