Most Data Involves Which Of These

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"Big data" usually refers to data sets that are huge, difficult to collect, process, analyze, and those that are kept in the traditional infrastructure for long periods of time. The "big" here has several meanings, it can describe the size of the organization, and more importantly, it defines the size of the IT infrastructure in the enterprise. The industry has an infinite expectation of large data applications. The more value the business information accumulates, the more it's worth, but we need a way to dig it out. Perhaps people's impressions of big data come mainly from the cheapness of storage capacity, but in fact, businesses are creating a lot of data every day ...

1. The introduction of large data production makes data analysis and application more complex, difficult to manage. According to statistics, the amount of data produced in the world over the past 3 years is more than the previous 400 years, including documents, pictures, videos, web pages, e-mail, microblogging and other types, of which only 20% are structured data, 80% is unstructured data. The increase of data makes the data security and privacy protection problem become more and more prominent, all kinds of security incidents to the enterprise and user wake-up alarm. Throughout the data lifecycle, businesses need to comply with stricter security standards and confidentiality rules ...

In recent years, with the emergence of new forms of information, represented by social networking sites, location-based services, and the rapid development of cloud computing, mobile and IoT technologies, ubiquitous mobile, wireless sensors and other devices are generating data at all times, Hundreds of millions of users of Internet services are always generating data interaction, the big Data era has come. In the present, large data is hot, whether it is business or individuals are talking about or engaged in large data-related topics and business, we create large data is also surrounded by the big data age. Although the market prospect of big data makes people ...

In recent years, the term "big data" has been increasingly mentioned, and it has been used to describe and define the vast amount of data generated by the age of information explosion. The world is boiling over the concept of big data, and all walks of life are exploring the opportunities and challenges of the big data age. Large data as cloud computing, after the internet IT industry is a major subversive technology revolution, and information, intelligence, digitalization and intelligent city construction closely related to grasp the background of large data, characteristics, trends, to better promote the construction of intelligent city is of great significance. .

It is an important goal for us to realize the improvement of enterprise operation efficiency through large data technology, but this work is not easy for every enterprise. On January 21, "1 billion said TalkingData mobile Internet Industry index Data Report", a number of industry experts and senior talkingdata for us to share the release of large data value existing pits, and how we can solve. The so-called 1 billion said, refers to the TalkingData platform now covers 1.06 billion of mobile smart devices, including iOS, an ...

Early enterprises are also relatively simple. The data stored in relational databases is often the source of all their data. At this time, their corresponding big data technology is the traditional OLAP data warehouse solution.

5th, 2013 Large Data technology conference held in Beijing. 　　CCF large Data committee secretary Cheng on behalf of the large Data commission to announce the 2013 large data white paper and 2014 "Big Data hot issues and trends," the official release. 　　Cheng said that the 2013 large data white paper summarized the overall environment of 2013 large data from the background of large data development, the status of technology system, industry chain and environment, talent training talent resources, and in the sixth chapter, the development trend of large data was elaborated. The Committee predicts that the network of large data, financial ...

The world-wide information revolution has caused almost every industry to face big data problems. In order to effectively deal with the all-round challenges brought about by large data and make full use of this unprecedented opportunity, the industry, the scientific and technological circles at home and abroad and even governments are actively planning and formulating strategic plans. March 2012, the United States government announced a 200 million dollar "big data Research and development plan", the study of large data to rise to the national will. The European Union has also introduced similar initiatives. In this context, the Chinese Computer Society in October 2012 set up the CCF large data committee of experts, ...

Large data Applications March 2012 The Obama administration issued a "Big data research and development plan". In response, the National Science Foundation, the National Institutes of Health, the Ministry of Defence, the Department of Energy and the United States Geological Survey are investing in big data innovation. Many companies in the United States are conducting their business activities around large data acquisition and utilization capabilities as part of their product or operational backend. Research groups, governments and the private sector are also speeding up the generation of large datasets of various themes, including: Climate change, traffic patterns, health and disease data, buying behavior ...