Large 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, and insight into the decision-making process optimization capabilities massive, high growth rates and diverse information assets.
Storage unit: bit, Byte, KB, MB, GB, TB, PB, EB , ZB, YB, BB, NB, DB
Big Data analysis mainly to solve computational problems and massive data storage of mass data.
Features big data (4V):
- Volume
- Velocity: This is different from the traditional data mining of large data most significant features.
- Variety: Data is divided into structured data and unstructured data. Compared to traditional structured data, unstructured data more and more, including a blog, video, audio, pictures, location information.
- Value: the amount of the value of big data and big data size is inversely proportional.
Big Data applications:
- Logistics and warehousing: big data analysis systems help businesses fine operation, increase sales and cost savings.
- Retail: diapers + beer.
- tourism
- Recommended Product Ads
- Insurance
- financial
- Estate
- artificial intelligence
Big Data Department Business Process Analysis
Products mentioned personnel needs (statistical total number of users, the number of daily active users, the number of users reflux) department to build a data platform data, analyzing data index data visualization (report shows, mail, large screen display, etc.) JavaEE work.
Large data structures sector organizations
Reproduced in: https: //www.jianshu.com/p/15f43732424e