VENTURE CAPITAL RESEARCH
Big data industry
Big data (big data), referred to by the conventional software tools in a certain range of time capture, management and processing of data, is the need for new processing mode to have a stronger decision-making ability, insight discovery and process optimization capabilities of massive, high rates of growth and diversification of information assets.
In Victor Maier - Schoen Berg data and Kenneth Ku Keye write "big data era" in which no random analysis method (sample survey) and the use of such a shortcut, all data were analyzed and processed. Big data 5V features (IBM): Volume (large), Velocity (high speed), Variety (diversity), Value (low value density), Veracity (authenticity).
Features：
Capacity (Volume): the size of the data determines the value and potential information of the data under consideration; [7]
Type (Variety): diversity of data types; [7]
Velocity (Velocity): the speed at which data is acquired; [7]
Variability (Variability): the process of managing and effectively managing data. [7]
Authenticity (Veracity): the quality of data [7]
Complexity (Complexity): huge amount of data, the source of multi-channel [7]
Value (value): the rational use of big data to create high value at low cost
Structure:
Big data includes structured, semi-structured and unstructured data, unstructured data is increasingly becoming the main part of the data. According to IDC survey report shows that: 80% of the data in the enterprise are unstructured data, these data every year by an exponential growth of 60%. [8] big data is the development of the Internet to the present stage of a representation or features, there is no need to myth it or to it
Keep awe, in contrast to the technological innovation of the large screen to cloud computing as the representative, which looks hard to collect and use data is easy to use, through innovative industries, big data will gradually create more value for human beings. [9]
Secondly, want to understand the big data system, it is necessary to be a comprehensive and detailed decomposition of it, starting from three levels to expand:
The first level is the theory, the theory is the necessary way of cognition, is also widely recognized and spread baseline. From here the feature definition of big data industry overall understanding of big data description and qualitative; precious to in-depth analysis of data from the study on the value of big data; insight into the development trend of big data; in the long game big data privacy this special and important perspective and between data.
The second level is the technology, technology is the means to reflect the value of big data and the cornerstone of progress. Here from the cloud computing, distributed processing technology, storage technology and the development of sensing technology to illustrate the big data from the collection, processing, storage to form the whole process of results.
The third level is practice, practice is the ultimate value of big data. Here from the big data on the Internet, the government's big data, big data and personal data to describe the big four big data has shown a good picture and the blueprint for the upcoming.
Application:
Losangeles police department and University of California cooperate to use big data to predict the occurrence of crime.
Google influenza trends (Google Flu Trends) search keywords to predict the spread of avian influenza.
Statistician Silver (Nate Silver) using big data to predict the results of the 2012 U.S. elections.
Massachusetts Institute of Technology uses mobile location data and traffic data to build urban planning.
Real time pricing mechanism of Messi Department store. According to the situation of demand and inventory, the company based on the SAS system for up to 73 million kinds of goods in real time price adjustment.
Medical industry has long been faced with the challenge of massive data and unstructured data, and in recent years, many countries are actively promoting the development of medical information, which makes many medical institutions have funds to do big data analysis.
Trend:
Trend 1: data resources
What is the resource, refers to the big data has become an important strategic resource for enterprises and social attention, and has become a new focus of competition to snatch. Thus, companies must develop a big data marketing strategic plan in advance to seize market opportunities.
Trend two: the depth of integration with cloud computing
Big data can not be separated from the cloud, cloud processing for large data provides flexibility to expand the basic equipment, is one of the big data platform. Since the beginning of 2013, big data technology has begun to closely integrate cloud computing technology, the future is expected to be more closely related. In addition, the Internet of things, mobile Internet and other emerging computing forms, will also help the big data revolution, so big data marketing to play a greater influence.
Trend three: breakthrough in scientific theory
With the rapid development of big data, like computers and the Internet, big data is likely to be a new round of technological revolution. With the rise of data mining, machine learning and artificial intelligence and other related technologies, may change the data in the world of many algorithms and basic theory, to achieve a breakthrough in science and technology.
Trend four: the establishment of data science and data Alliance
In the future, the science of data will become a special subject, which has been recognized by more and more people. Major colleges and universities will set up a special data science class, but also spawned a number of new jobs associated with it. At the same time, based on the data of this platform, will also establish a cross domain data sharing platform, after which data sharing will be extended to the enterprise level, and become the core of the future industry.
Trend five: data leakage flooding
The next few years, the growth rate of data breaches may reach 100%, in addition to
