软件学报
軟件學報
연건학보
JOURNAL OF SOFTWARE
2013年
2期
175-197
,共23页
覃雄派%王会举%李芙蓉%李翠平%陈红%周烜%杜小勇%王珊
覃雄派%王會舉%李芙蓉%李翠平%陳紅%週烜%杜小勇%王珊
담웅파%왕회거%리부용%리취평%진홍%주훤%두소용%왕산
关系数据库%noSQL%大数据%操作型%分析型%新格局
關繫數據庫%noSQL%大數據%操作型%分析型%新格跼
관계수거고%noSQL%대수거%조작형%분석형%신격국
RDBMS (relational database management system)%noSQL%big data%operational%analytic%new landscape
数据获取技术的革命性进步、存储器价格的显著下降以及人们希望从数据中获得知识的客观需要等,催生了大数据.数据管理技术迎来了大数据时代.关系数据库技术经历了20世纪70年代以来40年的发展,目前遇到了系统扩展性不足、支持数据类型单一等困难.近年来,noSQL技术异军突起,对多种类型的数据进行有效的管理、处理和分析;通过并行处理技术获得良好的系统性能;并以其高度的扩展性,满足不断增长的数据量的处理要求.试图沿着数据库技术进步的历史脉络,从应用维度(操作型与分析型应用)入手,为读者展开当今数据管理技术的新格局,讨论具有挑战性的重要问题,并介绍作者自己的研究工作.
數據穫取技術的革命性進步、存儲器價格的顯著下降以及人們希望從數據中穫得知識的客觀需要等,催生瞭大數據.數據管理技術迎來瞭大數據時代.關繫數據庫技術經歷瞭20世紀70年代以來40年的髮展,目前遇到瞭繫統擴展性不足、支持數據類型單一等睏難.近年來,noSQL技術異軍突起,對多種類型的數據進行有效的管理、處理和分析;通過併行處理技術穫得良好的繫統性能;併以其高度的擴展性,滿足不斷增長的數據量的處理要求.試圖沿著數據庫技術進步的歷史脈絡,從應用維度(操作型與分析型應用)入手,為讀者展開噹今數據管理技術的新格跼,討論具有挑戰性的重要問題,併介紹作者自己的研究工作.
수거획취기술적혁명성진보、존저기개격적현저하강이급인문희망종수거중획득지식적객관수요등,최생료대수거.수거관리기술영래료대수거시대.관계수거고기술경력료20세기70년대이래40년적발전,목전우도료계통확전성불족、지지수거류형단일등곤난.근년래,noSQL기술이군돌기,대다충류형적수거진행유효적관리、처리화분석;통과병행처리기술획득량호적계통성능;병이기고도적확전성,만족불단증장적수거량적처리요구.시도연착수거고기술진보적역사맥락,종응용유도(조작형여분석형응용)입수,위독자전개당금수거관리기술적신격국,토론구유도전성적중요문제,병개소작자자기적연구공작.
The revolutionary progress of data collecting techniques, dramatic decrease of the price of storage devices, as well as the desirability of people to extract information from the data have given birth to the so-called big data and data management technologies usher in the age of big data. RDBMS (relational database management system) undergoes a development of 40 years since the 1970s and now encounters some difficulties such as limited system scalability and limited data variety support. In recent years, noSQL technologies has risen suddenly as a new force. The technologies can manage, process, and analyze various types of data, achieve rather hi gh performance with the help of parallel computing, can handle even bigger volume of data with the nice property of highly scalability. The paper follows the path of database technology progress and unfolds the new landscape of data management technologies from the angle of applications (operational as well as analytic applications). The paper also identifies some chanllenging and important issues that deserve further investigation, with the authors’ recent research work introduced at the end.