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, is the need for new processing mode in order to have more decision-making power, insight found massive force and process optimization capabilities, high growth rates and diverse information assets.
Mainly to solve: analysis and massive data storage capacity mass data.
A data storage unit in the order bit、Byte、KB、MB、GBgiven: TB、PB、EB, ZB、YB、BB、NB、DB, .
1Byte = 8bit 1K=1024Byte 1MB=1024K 1G=1024M 1T=1024G 1P=1024T
1. Big Data Features
①Volume (a lot)
Up to now, the amount of data for all printed materials production is the human 200PB, and the amount of data on the total history of mankind remark about 5EB. Currently, a typical personal computer's hard drive capacity of TBthe order, and the amount of data that a number of large enterprises has been close to the order of EB.
②Velocity (high-speed)
This is distinguished from conventional large data mining data most significant feature. According to IDCthe report, "Digital Universe" is expected by 2020, global data usage will reach 35.2ZB. In the face of such vast amounts of data, data processing efficiency is the life
③Variety (diverse)
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.
④Value (low density value)
Size is inversely proportional to the level of the total value of the data density. For instance, surveillance video of the day, we only care about the teacher and Song Song minutes in bed that night, fitness, how fast to valuable data "purification" has become a large problem under the current background data to be solved.
2. Big Data scenarios
① logistics and warehousing
Big data analysis systems help businesses fine operation, increase sales and cost savings.
② retail
Analysis of user consumption habits, providing convenience for users to buy goods, so as to enhance product sales. Classic case of child diapers + beer.
③ tourism
Depth combined with a 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
Recommend to the user might like commodities
⑤ Insurance
Massive data mining and risk prediction, help the insurance industry, precision marketing, improve the refinement of pricing power.
⑥ financial
Users reflect the multi-dimensional features to help financial institutions recommend high-quality customers, to prevent the risk of fraud.
⑦ Property
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.
⑧ AI
3. Introduction of large data sector
Business Process Analysis Enterprise Data section
Large data structures sector organizations
