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What are the misconceptions about big data processing in government?

Big data is not the same as open data

Because there is currently no definition of ? Big Data? s standardized definition, it is not a standardized definition in the sense that most people equate open data with big data, and equate any ? Big? s release of government datasets as big data. But in fact, much open data is just discrete? small data? and do not have the basic characteristics of big data, such as large-scale, unprocessed and unstructured, and many of the online datasets released through open data organizations are simply a sample of what is available.

Big data is not the same as ****ed data

According to a survey, the big data platforms currently being built by many local governments are merely replicas of the government's ****ed data platforms of the past. rehash? The primary purpose of the government to promote the construction of big data platform is not to promote the application of big data, but to unify the government information infrastructure and realize the interconnection of data from various departments. However, government big data is not only the government's own business data, in today's society, there are a large number of big data sources that are meaningful to government governance, such as finance, e-commerce, health care, social media, etc., and are not entirely in the hands of the government itself.

Big data is not the same as massive data

With the continuous development of big data in China, various localities have begun to build big data centers, but for the construction of the big data centers, it is more still stuck in ? Building server room, equipment, pile of data? stage, ignoring that big data emphasizes the analysis and application of data.

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