Introduction to Big Data Big Data technologies

First, the concept of Big Data

    Big data (big data), refers to the collection of data can not be captured, managed and treated with conventional software tools within a certain time frame, the new model requires processing in order to have greater decision-making power, strength and insight discovery process optimization capabilities of mass , high growth rates and diverse information assets.

    The basic unit is the smallest bit, all the units in the order given: bit, Byte, KB, MB, GB, TB, PB, EB, ZB, YB, BB, NB, DB.

Second, the characteristics of large data

    1) Volume (a lot): As of 2017, the amount of data for all printed materials produced by humans is 200PB, and a total amount of data on the history of mankind remark about 5EB. Currently, a typical personal computer's hard drive capacity of the order of TB, while the amount of data that a number of large enterprises has been close to the order of EB.

    2) Velocity (high speed): This is a great distinction between the most significant features of the data in a conventional data mining. According to the report, "Digital Universe," the IDC is expected that by 2020, global data usage will reach 35.2ZB. In the face of such vast amounts of data, data processing efficiency is life.

    3) Variety (diversity): This type of diversity also allows data to be divided into structured data and unstructured data. With respect to a conventional database for easy storage / text-based structured data, unstructured data more and more, including logging networks, audio, video, images, location information, etc., these multiple types of data processing of the data the ability to put a higher demand.

    4) Value (Low Density Value): inversely proportional to the density level value of the total amount of data. For instance, surveillance video of the day, we only care about the minute fitness at night in bed, how fast to valuable data "purification" has become a large problem under the current background data to be solved.

Third, big data can be doing?

    1) O2O: Baidu + Big Data platform technology and open up the passenger flow analysis capabilities at advanced online and offline help businesses fine operation, to boost sales.

    2) Retail: Explore user value, to provide personalized service solutions; and through physical retail network, work together to create the ultimate experience. Classic case of child diapers + beer.

    3) Travel: Depth unique combination of Baidu large data capacity and tourism industry needs to build a tourism industry intelligence management, intelligence services and the future of marketing wisdom.

    4) commercial advertising Recommended: recommended to the user visited commercial advertising type

    5) Real Estate: Big Data comprehensive help the real estate industry, to create precise investment strategy and marketing, choose a more suitable place to build a more suitable building, sold more suitable person.

    6) Insurance: massive data mining and risk prediction, help the insurance industry, precision marketing, improve the refinement of pricing power.

    7) Finance: users reflect the multi-dimensional features to help financial institutions recommend high-quality customers, to prevent the risk of fraud.

    8) Mobile Unicom: Unicom Mobile: according to the user's age, occupation, consumption, which statistical analysis packages for which groups of people. The crowd on the market accurate customized.

    9) Artificial Intelligence

Fourth, the development prospects of large data

    1) the party's 18 session of the Fifth Plenary Session "big data implementation of the national strategy" issued "to promote the development of Big Data Platform for Action," the State Council, Big Data technology and application of breakthroughs in innovation, the domestic market demand in the outbreak, China's large data industry is facing important opportunities for development.

    2) International Data Corporation IDC predicts that by 2020, companies based big data analytics platform computing spending will exceed $ 500 billion. At present, China's large data only 460,000 people, the next 3-5 years talent gap of 150 million and more.

    Successful applicants 25 universities 3) 2017, Peking University, Renmin University of China, Beijing University of Posts and Telecommunications to set up large data program.

    4) large data belonging to high-tech, small competition for promotion;

    5) The average salary in Beijing Big Data development engineers has been to 17,800 yuan, and is still maintained a strong momentum of development.

Fifth, the business processes of the enterprise data analysis unit

    image

Sixth, the general part of the organizational structure of the enterprise data

   General organizational structure of the enterprise data unit, for medium to large enterprises.

    Organizational Structure

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Origin www.cnblogs.com/chuanqi1415583094/p/11073524.html