Shulou(Shulou.com)06/03 Report--

After years of development, big data has more meanings in concept, and there will be different definitions when looking at big data from different angles, but generally speaking, big data can be summarized in three aspects: one is "new value areas"; the second is "data value"; and the third is "the foundation of industrial Internet".

One of the important reasons why big data has received wide attention is that big data has opened up a new field of value, which is very critical. The new value field will create a series of ecosystems, and the ecosystem will give birth to a large number of different business models, and this process will also be accompanied by a lot of innovation, so there are many entrepreneurial projects based on big data. Big data gives value to the continuous flow of data on the Internet (Internet of things) and gives the whole society a new understanding of the Internet.

Big data's technology is mainly carried out around the core of "data value", which involves data collection, data collation, data storage, data security, data analysis, data presentation and data application. Data acquisition technology involves the Internet of things technology, in fact, the Internet of things is also the main data source of big data, so the relationship between big data and the Internet of things is also very close, it can also be said that without the development of the Internet of things, there would be no big data.

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The most common data cleaning technology is data cleaning. Conventional data cleaning technology involves the use of regular expressions and Sql language, as well as the identification of the rationality, authenticity and integrity of data according to specific business rules. Data storage technology mainly involves database technology, including both Sql database and NoSql database.

Data analysis technology is one of the core links of big data's technical system. Data analysis requires different analysis techniques according to different data types. At present, the main data analysis methods include statistical analysis and machine learning. Mastering certain algorithm knowledge and programming knowledge is the premise of data analysis. For beginners, you can start with Python language, and then learn how to use Python language to complete algorithm implementation and training.

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