Big data trends
Although still in its infancy Big Data, there are many challenges, but the future is still very optimistic. Development and presentation of data Eight trends: data resources, will become the most valuable asset; big data in more traditional sectors of enterprise management floor; big data and traditional business intelligence integration, industry-specific solutions will emerge; data the more open data sharing alliance will appear; the increasing importance of big data security, big data security market will become more important; big data promote the development of smart city, smart city for the engine; big data will give rise to a number of new jobs and corresponding professional; big data to improve our lives in a multi-faceted. 40 + annual salary of big data development [W] tutorial, all here!
Trend: data resources, will become the most valuable asset
With the development of large data applications, big data can be fully reflected in the value of big data in the enterprise and social level has become an important strategic resource data into a new strategic high ground, is the new focus of the snatch. "Wall Street Journal" in the report entitled "Big data, big impact" propaganda, data has become a new asset class, just like gold or currency. Google, Facebook, Amazon, Tencent, Baidu, Alibaba and 360 other companies are using the power of big data to obtain greater commercial success, and the financial and telecommunications companies are using big data to improve their competitiveness. We have reason to believe that big data will continue to be the institutions and enterprises of assets, becoming enhance the competitiveness of enterprises and institutions a powerful weapon.
Trends: big data in more traditional sectors of business management landing
A new application of technology is often achieved good results in a few industries, other industries have a strong demonstration effect. At present big data in large Internet companies have been good application, data from other large industries, especially telecommunications and financial gradually achieve results in a variety of scenarios. Therefore, we have reason to believe that big data as a tool to create new value from the data, companies in many industries will be applied, brings a wide range of social value. Big data will help companies better understand and meet customer needs and potential demand for better application of intelligent monitoring operations, fine business operations, customer life cycle management, refined marketing, business analysis and strategic aspects of analysis. Management of both arts have science, believe big data more significantly promote the scientific management of enterprises, so that more enterprises embrace big data intelligence enterprise management.
Trend three: big data and traditional business intelligence integration, industry-specific solutions will emerge
Traditional business intelligence came from the big data as a new data source, and big data practitioners of traditional business intelligence believes that only a small amount of data that method when the field of treatment. Big data users would prefer to get a holistic solution that is not only to collect, process and analyze internal enterprise business data, but also hope to introduce a web browser, microblogging, letters and other unstructured data on the Internet. In addition, also we hope to combine location information of a mobile device, so that enterprises can form a comprehensive and complete development platform for the data value. After all, no matter how large or business intelligence data, the goal is to analyze the services, fully integrate data, more conducive to the discovery of new business opportunities, this is the big data business intelligence. At the same time, due to differences in the sex industry, it is difficult to develop a set of applicable to all industries of large business intelligence data analysis systems, and therefore, in some of the larger scale industry market, big data service providers will be in a more customized business smart solution provides big data services. We believe more Big Data Business Intelligence customized solutions will appear in the telecommunications, finance, retail and other industries.
Trend four: data will be more open, data-sharing alliance will appear
Big data associated with the more valuable the more, the more open the more valuable. Especially public utilities and Internet companies will be more and more data open data. We see that the government United States, Britain, Australia and other countries have data on government efforts and public utilities. And some domestic cities and departments to carry out data is gradually opening up the work. For example, in Beijing in 2012 began trial operation resources government data network, was officially opened by the end of 2013; Shanghai in 2012, the government launched a pilot open data resources, data related to geographic location, transportation, economic statistics and eligibility qualifications and other data; In 2014, Guizhou Province also joined the list of open data, in October on a cloud, Guizhou formally launched. For different industries, the more data sharing is also more valuable. If every hospital wants to get more disease characterized by libraries and efficacy information, then you need to country, and even around the world to share medical information, which can be analyzed through the platform to get greater value. We believe that the data will show the trend for sharing data in different areas of the Union will appear.
Trend five: the increasing importance of big data security, big data security market will become more important
With more and more important value of the data, big data security and stability will also gradually be seriously. Network and digital life also makes the crime molecules are more easily get information about other people, there are more tricks and criminal means appear, therefore, in the big data era, both for the protection of the data itself, or for some information from the data and evolution safety analysis with higher requirements for enterprises will be crucial for large data. Data security is a big business with big data corresponding, compared with the traditional security, big data security is the biggest difference when security vendors thinking about security issues must first conduct business analysis and to identify threats to the business of big data, then propose targeted solutions. For example, for data storage in this scenario, many enterprises using open source software such as Hadoop big data technology to solve the problem, because of its open source nature, but security issues are also prominent. Therefore, the market needs more professional security firms to provide professional services for different large data security issues.
Trend six: Big Data promote the development of smart city, smart city for the engine
With the development of big data, big data in smart city will play an increasingly important role. As the population of the city gathered to put pressure on all aspects of the transportation, medical, construction, cities need to be more rational resource allocation and distribution, and smart city is the optimal solution for the transformation of urban governance. Smart City through things and things, things and people, people of interconnection capacity, overall perception and ability to use information, through the Internet of Things, mobile Internet, cloud computing and other new generation of information technology, and efficient city government, convenient public services, sustainable industrial development. Smart City concept relative to the previous Digital City, the biggest difference is that the information perception layer obtained was processed wisdom. Digitized by the city to the wisdom of the city, the key is to realize the wisdom of handling digital information, and its core is the introduction of big data processing techniques. Big Data is the wisdom of the city's core intelligence engine. Wisdom security, intelligent transportation, medical wisdom, the wisdom of urban management, are based on data from a large city applications wisdom.
Trend Seven: large data sources of new jobs and corresponding professional
Emergence of a new industry, will have new needs in terms of jobs, big data will also launch a number of new jobs, for example, large data analysts, data management experts, big data algorithm engineer, product manager for data and many more. There has extensive experience in data analysis talent will become a scarce resource, data-driven work will show explosive growth. And because there is a strong market demand, the university will gradually set up large data relevant professional to train the appropriate professionals. Universities and enterprises will work closely with universities to assist joint training of big data talent. As in 2014, IBM comprehensively promote cooperation with universities in the field of big data, the introduction of a strong research and development team and business partners, to promote the "big data platform" and "big data analysis" industry-oriented research and innovation cooperation in the construction of systematic knowledge and high-value personnel training, construction with Chinese characteristics and teaching personnel needs of large data relating to credit courses to prepare for future construction characteristics of professional direction.
Trend Eight: big data to improve our lives in a multi-faceted
Big data is not only for business and government, also applies to our lives. In health: We can use intelligent monitoring bracelet on our sleep patterns to track, understand the quality of sleep; we can use a smart blood pressure monitor, heart rate meter intelligent remote monitoring of the health of the body in the home for the elderly in different places, so far more confidence in the other party of outgoing workers; in terms of travel: we can use smart navigation GPS travel data to understand traffic conditions and route in real-time tuning based on congestion. In terms of home life: big data will become the core of the smart home, smart appliances to achieve the anthropomorphic intelligent products to capture and process information through sensors and control chip, can be set automatically controlled according to the residential space environment and user needs, even proposed to optimize the quality of life recommendations, such as our refrigerator might suggest recipes in our day early in the morning.
61. Big Data predictive
62. Big Data other applications
63. Large data which industries can be applied in
64. In the financial industry, large application data
65. Big Data applications in the Internet industry
66. The application of big data in the logistics industry