What is big data? Wealth Management is here to introduce it to you! Big data is a collection of data whose contents cannot be captured, managed and processed within a certain period of time using conventional software tools. Big data technology, is the ability to quickly obtain valuable information from a wide variety of types of data. Technologies applicable to Big Data include massively parallel processing (MPP) databases, data mining grids, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems.
Specifically, big data has four basic characteristics:
One is the huge volume of data. Baidu information shows that its new home page navigation needs to provide more than 1.5PB of data per day (1PB = 1024TB), these data if printed out will be more than 500 billion pieces of A4 paper. Some information confirms that so far, the amount of data produced by human beings in all printed materials is only 200PB.
The second is a variety of data types. Nowadays, the type of data is not only in the form of text, but more multi-type data such as pictures, videos, audios, geographic location information, etc., and personalized data accounts for the absolute majority.
Third, the processing speed is fast. Data processing follows the "one-second rule," which allows us to quickly obtain high-value information from various types of data.
Fourth, low value density. In the case of video, for example, an hour's worth of video, in the course of uninterrupted monitoring, may be useful only one or two seconds of data.
The role of big data
First, the processing and analysis of big data is becoming the nexus of the convergence of a new generation of information technology applications. Mobile Internet, Internet of Things, social networking, digital home, e-commerce and so on are the application forms of the new generation of information technology, and these applications constantly generate big data. Cloud computing provides a storage and computing platform for these massive and diverse big data. By managing, processing, analyzing and optimizing data from different sources, the results will be fed back into the above applications, which will create huge economic and social value.
Big data has the energy to catalyze social change. But unleashing that energy requires rigorous data governance, insightful data analysis, and an environment that inspires managerial innovation (RamayyaKrishnan, Dean, Heinz College, Carnegie Mellon University).
Second, big data is the new engine for sustained high growth in the information industry. New technologies, new products, new services, and new business models for the big data market will continue to emerge. In the field of hardware and integrated equipment, big data will have an important impact on the chip, storage industry, will also give rise to integrated data storage and processing servers, memory computing and other markets. In the field of software and services, big data will trigger the development of rapid data processing and analysis, data mining technology and software products.
Third, the utilization of big data will become a key factor in improving core competitiveness. Decision-making in all industries is changing from "business-driven" to "data-driven".
The analysis of big data can enable retailers to grasp the market dynamics in real time and quickly respond; can provide decision support for businesses to develop more accurate and effective marketing strategies; can help businesses provide consumers with more timely and personalized services; in the medical field, can improve the diagnostic accuracy and effectiveness of the drug; in the field of public **** business, big data has also begun to play an important role in promoting economic development, maintaining social stability and so on. In the public sector, big data has also begun to play an important role in promoting economic development and maintaining social stability.
Fourth, the methods and means of scientific research in the era of big data will undergo significant changes. For example, sample survey is the basic research method of social science. In the era of big data, the massive behavioral data generated by research subjects on the Internet can be monitored and tracked in real time, mined and analyzed to reveal regularities and propose research conclusions and countermeasures.