摘 要

大数据时代，数据就是资源 ，数据就是财富，在时代认知里，大数据已经成为像土地、水和空气等自然资源一样重要的社会资源。数据融合是格式不一、分散分布、零碎存在的大数据资源融合成完整具体的“大数据”，并在实际中加以应用。数据共享，是将已经存在的大数据资源信息公开分享，便于进一步的数据融合与二次共享。大数据融合与共享可以提高个人企业乃至国家的核心竞争力与竞争优势，在个人企业与国家的生存和发展中起到举足轻重的重要。

本文首先揭示了研究背景意义与研究方法，接着介绍大数据时代的具体特征概念以及产生的原因过程与发展趋势，然后概述数据共享的内涵意义，根据数据共享的影响因素分析国外的共享政策，以此对国内数据共享模式建议。接着描述数据融合的内涵特点与发展趋势，对数据融合面临的问题提供解决方案。最后集中分析共享与融合的相互关系与共同问题，在技术研究的基础上提出对应政策建议。

关键词：大数据 数据融合 数据共享

Research on Data Fusion and Sharing in Big Data Ecological Environment

Abstract

In the era of big data, data is a resource, and data is a wealth. In the understanding of times, big data has become an important social resource like land, water, and air. Data fusion is the integration of big data resources with different formats, scattered distributions, and fragmentation into complete and specific "big data", and is applied in practice. Data sharing is to openly share the existing big data resources information for further data fusion and secondary sharing. The integration and sharing of big data can improve the core competitiveness and competitive advantages of individual companies and even countries, and play an important role in the survival and development of individual companies and countries.

This article first reveals the research background significance and research methods, and then introduces the concept of specific characteristics of the era of big data and the causes of the process and development trends, and then summarize the connotation of data sharing, according to the impact of data sharing analysis of foreign sharing policy to put up with suggestions for the domestic data sharing model. Then the article describes the connotation characteristics and development trend of data fusion, and provides solutions to the problems faced by data fusion. Finally, it focuses on analyzing the mutual relations and common problems of sharing and integration, and proposes corresponding policy recommendations on the basis of technical research.

Keyword:Big data Data fusion Data sharing

目录

摘要...............................................................................................................................................I

ABSTRACT.................................................................................................................................II

第一章 绪论.............................................................................................................................1

1.1研究背景........................................................................................................................1

1.2研究意义........................................................................................................................1

1.3研究方法........................................................................................................................2

第二章 大数据环境.............................................................................................................3

2.1大数据概念...................................................................................................................3

2.2大数据产生过程..........................................................................................................3

2.3大数据产生原因..........................................................................................................3

2.4大数据特征...................................................................................................................4

2.5大数据发展趋势..........................................................................................................5

第三章 数据共享...................................................................................................................7

3.1数据共享内涵概念......................................................................................................7

3.2.数据共享的意义........................................................................................................7

3.3.数据共享影响因素....................................................................................................8

3.4国外共享政策...............................................................................................................8

3.5国内共享模式建议......................................................................................................9

第四章 数据融合.................................................................................................................11

4.1数据融合内涵特点....................................................................................................11

4.2数据融合发展趋势....................................................................................................11

4.3数据融合面临问题....................................................................................................11

4.4数据融合方法建议....................................................................................................13

第五章 共享与融合协同.................................................................................................14

5.1数据共享与融合的关系..........................................................................................14

5.2数据共享与融合共同问题......................................................................................15

5.3数据共享与融合技术...............................................................................................16

5.4数据共享与融合建议...............................................................................................17

结论..............................................................................................................................................18

参考文献...................................................................................................................................19

致谢..............................................................................................................................................21

绪论

1.1研究背景

在查阅了部分期刊杂志后得知，20011年世界上共有将近2ZB的数据，如果用它们来填充35GB的空白iPad，大约需要575亿个空白iPad，它们的重量差不多等于长城的两倍。而根据估计，大概在2020年世界上将会存在40ZB的数据，这些数据可以填充满的蓝光光盘的重量，甚至要超过400艘尼米兹号航母[1]。