An Introduction to the Opportunities and Challenges Based on the Era of Big Data Essay Recommendations
In the study and work, we always have to contact the paper, right? There are many types of papers, including thesis, thesis, dissertation, dissertation, scientific and technological thesis, results of the paper and so on. In order to make it easier and more convenient for you to write a paper, the following is my carefully organized talk about the opportunities and challenges based on the era of big data thesis, just for reference, I hope to be able to help you.
An Introduction to the Opportunities and Challenges in the Era of Big Data Based Essay
1. The Basic Overview of Big Data
Big Data refers to those data that exceed the processing capacity of the traditional database system, which has the following four basic characteristics, namely, massive, diverse, and volatile, High speed. At the same time, a wide range of data types, relatively low data value density, fast processing speed, high timeliness requirements are also its main characteristics.
2, the impact of the era of big data
Big data, economic, political, cultural and other aspects have a more far-reaching impact, which can help people to quantitative management, more scientific and targeted, the data get the world. The impact of big data on the times mainly includes the following aspects:
(1) "Big data decision-making" is more scientific and effective. If people make decisions based on big data analysis, they can comprehensively access relevant decision-making information and let the data dominate the decision-making, which will certainly promote innovation and change in decision-making, completely change the traditional way of decision-making, improve the scientific nature of decision-making, and promote the repositioning of information management guidelines. 2009 outbreak of Influenza A (H1N1) is a successful example of the use of big data, Google Inc. Google analyzed a large number of records from online searches to determine where the flu was spreading, and officials from public ****health agencies took targeted action decisions based on this valuable data.
(2) "Big data applications" promote industry integration. Although Big Data originated in the communications industry, its impact is by no means limited to the communications industry, and will inevitably have a more far-reaching impact on other. Currently, big data is gradually being widely used in various industries and fields, more and more companies are beginning to use data analysis as an auxiliary means to strengthen the company's day-to-day management and operations management, such as McDonald's, KFC, Apple and other flagship store location is based on big data analysis to complete the site selection, in addition to the data analytics technology in the retail industry is also more and more widely used.
(3) "Big data development" to promote technological change. The application of big data demand, is the source of big data new technology development. It is believed that with the continuous development of the times, the data analysis and data mining functions of the computer system will gradually replace the previous field applications that rely solely on people's own judgment. With these innovative big data applications, the energy of data will be amplified.
In addition, it is important to note that big data can easily cause some privacy leakage in terms of personal privacy. We need to take this issue seriously and comprehensively utilize legal, publicity, and ethical means to protect personal privacy and make more positive efforts.
3, big data response strategy
3.1 Layout of key technology research and development innovation.
At present, the technical threshold of big data is relatively high, and those who have competitiveness in this field are mostly information technology enterprises that have advantages in data storage and analysis. In order to promote industrial upgrading, we must strengthen research, pay attention to the research and development and application of data analysis of key technologies and emerging technologies, specifically can start from the following aspects: First, consolidate the foundation of development, the core technology of big data as a starting point, to strengthen the theoretical research and technological research and development in the field of artificial intelligence, machine learning, business intelligence and other fields, to lay the theoretical foundation for the application of big data. Secondly, we will accelerate the research and development of basic technologies (unstructured data processing technology, visualization technology, non-relational database management technology, etc.), and organically integrate them with the Internet of Things, mobile Internet, cloud computing and other technologies, so as to lay a solid foundation for the formulation of solutions. Third, based on the application of big data, focusing on knowledge computing (search) technology, knowledge base technology, web search technology and other core technologies for research and development, to strengthen the research and development of individual technology products, and to ensure that the quality of the enhancement, and at the same time to promote the organic combination of its data processing technology, the establishment of science and technology system.
3.2 Improve the level of software product development.
One is to promote enterprise-led cooperation between industry, academia and research to improve the level of software development. The second is to use cloud computing technology to promote the transformation and development of information technology services, and to promote the construction of Chinese knowledge base, database and rule base. Thirdly, encouragement policies will be adopted to guide software and hardware enterprises and service enterprises to apply new technologies to carry out data and information services and provide system integration solutions with industry characteristics. Fourth, lead by large Internet companies and gather small and medium-sized Internet information service providers to systematically integrate advantageous resources and develop and integrate localized information services. Fifth, led by data processing software vendors, these software vendors must have certain basic advantages, which can give full play to their respective data advantages and technological advantages, complement each other's strengths, improve the level of data software development, and improve the accuracy and scientific content of the service. At the same time to improve the market capabilities of big data solution providers and integration level, in order to ensure that their big data for various industry sectors to provide more mature solutions.
3.3 Accelerate the promotion of big data demonstration applications.
In the era of big data, we should actively promote the demonstration application of big data, which can be practiced in the following aspects: First, for some areas with large amounts of data (e.g., finance, energy, circulation, telecom, healthcare, etc.), we should guide industry vendors to actively participate in the development of software and hardware integration of industry application solutions such as data monitoring and analysis, horizontally expandable storage, and business decision-making. Secondly, big data will be gradually applied to the construction of smart cities and personal life and services, and the level of development of services such as digital content processing and handling software will be promoted. Third, to promote the in-depth development of industry databases (especially in the field of high technology), it is suggested that different thematic databases be established for different industry fields to provide corresponding value-added content services and form services with special features. Fourth, with key areas or key enterprises as a breakthrough, the corresponding analysis, organization and cleaning of enterprise data, and gradually reduce and remove duplicate data and noise data.
3.4 Optimize and improve the environment for big data development.
Information security is the main problem faced by the application of big data, so we should strengthen the research on the confidentiality of information based on big data intelligence collection and analysis, develop effective preventive countermeasures, and strengthen information security management. At the same time, in order to optimize and improve the environment for the development of big data, a variety of incentive policies should be taken (such as the inclusion of the data processing business of enterprises with certain capabilities in the scope of enjoyment of preferential policies on business tax) to support the development of data processing enterprises, prompting them to improve the level and quality of data analysis and processing services. Thirdly, to consolidate the application of big data foundation, improve the relevant institutional mechanism, the government as an entry point to promote the centralization of information resources **** enjoyment.
Do the above points, when the era of big data comes, facing a large amount of data will not be helpless, but a clear picture, and the benefits from the data will also promote the rapid development of the country and enterprises.
Big data for the operation of the horizontal cross-border, industrial cross-border mixing, production and consumption of the unity of the favorable conditions, big data will certainly be in the socio-economic, political, cultural and other aspects of people's lives have a huge impact, while the era of big data on the human data mastery has also put forward new challenges and opportunities. In the face of new challenges and development opportunities, we should actively respond to them in order to grasp the initiative of the future development of big data.
Structure
A paper generally consists of a name, authors, abstract, keywords, body, references, and appendices, some of which (e.g., appendices) are optional.
1, thesis title
Requirements for accurate, concise, eye-catching, novel.
2. Table of Contents
The table of contents is a short list of the main paragraphs of the paper. (Short papers do not have to list the table of contents)
3, executive summary
is an excerpt of the main content of the article, short, concise and complete.
4, the definition of keywords
Keywords are selected from the title of the paper, the abstract and the body of the paper, is the expression of the paper's central content of the words of substantive significance. Keywords are words used as computer systems to characterize the content of the paper, so that the information system can be assembled for readers to retrieve. Each paper is generally selected 3-8 words as the key words, a separate line, in the "Abstract" of the lower left.
Theme words are standardized words, in determining the theme word, the paper should be subject to analysis, according to the rules of citation and grouping into the theme of the word list of standardized words. (See Chinese Theme Word List and World Chinese Theme Word List).
5, the body of the paper
(1) Introduction: the introduction, also known as the preface, preface and introduction, used in the beginning of the paper. The introduction should generally summarize the author's intentions, explain the purpose and significance of the topic, and point out the scope of the paper writing. The introduction should be short and concise, close to the topic.
(2) the body of the paper: the body is the main body of the paper, the body should include the thesis, the argument, the process of argumentation and conclusion. The main part includes the following:
a. Presenting the problem-argument;
b. Analyzing the problem-argument and argumentation;
c. Solving the problem-argumentation methods and steps;
d. Conclusion.
6. References
A paper's references are the main literature that can be referred to or cited in the research and writing of the paper, listed at the end of the paper. References should be on a separate page, labeled as conducted.
7, thesis binding
The relevant parts of the paper are all copied and cleaned up, after checking, and then there is no problem, it is bound into a book, and then add the cover. The cover of the thesis should be simple and generous, to write the title of the thesis, school, department, instructor's name, author's name, the completion of the month and year. The author's name of the title of the paper must be written on the sheet, not on the inside filler page.
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