5 thoughts on “What is the big data industry”

  1. Big data industry, with data as the core, big data is an industry with data as the core, a production process that is continuously circulated around the life cycle of big data, and it is also a complexity caused by the division of labor and collaboration of various industries. Very high industry.
    In the Internet era, data is the life of enterprise development. The financial industry, retail industry, logistics industry, manufacturing industry and other industries all have a large amount of data as the core support of the enterprise. Data processing will become more complicated. With the release of the national big data outline, the development of the big data industry will be promoted to the national strategic level.
    The big data industry now requires a large number of talents, one is a kind of professional talents who are familiar with big data algorithms, data architecture, system development and other high technical requirements. The other is to promote talents in industrial big data. From the perspective of the status quo, the incomplete training system, and talent training cannot meet the development needs of big data.
    The big data industry is a trillion -level industry, which is beyond doubt. How to divide such a big cake, how much can be divided, it depends on your own ability. Guiyang’s current big data industry scale is at least 300 billion yuan, which has driven many talents to exist.

  2. The big data industry refers to the industrial cluster and industrial park of big data, covering big data composed of big data technology products research and development, industrial big data, industry big data, big data industry subjects, big data security guarantee, big data industry service system, etc. Industrial park.
    At present, my country’s big data industry has entered the key nodes of the outbreak. Key technology and related application models have gradually matured. Big data infrastructure, laws and regulations, policy systems, and data standards have gradually improved.

  3. Big data concepts include several aspects of connotation
    1. Data from large amounts of data, TB, PB, and even EB data need to be analyzed and processed.
    . Requirement of fast response, fast market changes, requiring to respond quickly and rapidly, the analysis of data should also be rapid, and there are higher requirements in terms of performance. Essence
    3. Data diversity: Different data sources, more and more non -structured data, need to be cleaned, sorted, screened and other operations to become structural data.
    4. The value density is low. Due to the timely data collection, the data samples are not comprehensive, the data may not be continuous, etc. The data may be distorted, but when the amount of data reaches a certain scale, it can be reached more by more data to reach more data. Real and comprehensive feedback.

    The industries will have big data requirements, such as industries that are easy to generate a large amount of data, such as the telecommunications industry, the Internet industry, etc., many traditional industries, such as medicine, education, mining, electricity, etc. Big data demand.

    Apdra terms with the continuous expansion of the business and the increasing historical data, the amount of data volume continues.
    The big data industry includes an emerging data analysis industry or manufacturer.
    It if you need to analyze big data, you can have open source big data items such as Hadoop, or commercial big data BI tools such as Yonghong Z-Suite.

  4. At present, data has become an important production factors. The big data industry as a strategic emerging industry based on data generation, collection, storage, processing, analysis, and service -oriented. Important engine of change, efficiency change, and dynamic change. Faced with the major changes in the world’s centuries and a new round of scientific and technological revolution and industrial change, the opportunity period of development, countries around the world have introduced big data strategies to start a new track of innovation and development of big data industry, and the multiple values ​​of the agglomeration data elements. See the high point of the development of the big data industry.
    With the transition from the penetration of big data to the development of application, the big data industry is in a booming period and opportunity period. Big data technology will be continuously improved in open source environments. The big data industry will rely on rapidly gathering social resources. Under the innovation of data and application -driven, it will continuously enrich the business model and build a multi -layer market pattern. It will be continuously improved.

  5. Big data is a collection of data, which can reflect the activity trend in the same way for a period of time. It is a very valuable information asset in modern society. Big data is now widely used in business fields, so as to achieve precision marketing, predict the trend, and achieve the best and maximum of commercial interests.

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