The current company is specialized in weather software development, large meteorological data from some of their own understanding of big data. 2008 "Nature" magazine that "big data" concept, recognized in 2013 as the first year of big data.
Big Data includes not only data but also the tools and techniques for processing data. Usually through acquisition -> Storage -> Processing -> Analysis of four phases, in fact, processing and analysis of large data mining is a key value, of course, capture and storage
We will face challenges.
Big Data can not directly address the problem of the mechanism of science, big data focus only on the correlation between the phenomenon, not to explore the causal relationship behind these associations, but knowledge enough, and do not want to even bother to explore why.
Weather forecast for the weather industry in terms of the most important business and found mastered causal relationship is more important than the precise analysis of business needs always more blurred than forecast, sample collection and processing of data than ever
All data collection and processing more efficient. A wide range of applications of large data, it must be connected to a wide range of surface data sets, not necessarily related to body mass. In value terms, the connection is more important than scale.
Mining large data values need to break the barriers of data alone, but also the need for more progress.