摘要:大数据产业是指一切与支撑大数据组织管理和价值发现相关的企业经济活动的集合。大数据产业包括 IT 基础设施层、数据源层、数据管理层、数据分析层、数据平台层和数据应用层。具体如下:
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“小h漫谈(9):大数据产业”
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"Chat with Little H (9): The Big Data Industry"
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大数据产业是指一切与支撑大数据组织管理和价值发现相关的企业经济活动的集合。大数据产业包括 IT 基础设施层、数据源层、数据管理层、数据分析层、数据平台层和数据应用层。具体如下:
The big data industry refers to the collection of all enterprise economic activities related to supporting the organization, management and value discovery of big data. The big data industry includes the IT infrastructure layer, the data source layer, the data management layer, the data analysis layer, the data platform layer and the data application layer. The details are as follows:
IT基础设施层(IT infrastructure Layer)
包括提供硬件、软件、网络等基础设施以及提供咨询、规划和系统集成服务的企业,比如提供教据中心解决方案的 IEM、惠普和戴尔等,提供存储解决方案的 EMC,提供虚拟化管理软件的微软、思杰、SUN、 Red Hat 等。
It includes enterprises that provide infrastructure such as hardware, software and networks, as well as those that offer consulting, planning and system integration services. For example, IBM, Hewlett-Packard and Dell, which provide data center solutions, EMC that provides storage solutions, and Microsoft, Citrix, SUN and Red Hat, which provide virtualization management software.
数据源层(Data Source Layer)
大数据生态圈里的数据提供者,是生物(生物信息学领域的各类研究机构)大数据、交通(交通主管部门) 大数据、医疗 (各大医院、体检机构)大数据、政务(政府部门)大数据、电商(淘宝、天猫、苏宁云商、京东等电商)大数据、社交网络(微博、微信等)大数据、搜索引擎(百度、谷歌等)大数据等各种数据的来源。
The data providers in the big data ecosystem are the sources of various types of data, such as biological (all kinds of research institutions in the field of bioinformatics) big data, transportation (transportation authorities) big data, medical (major hospitals, physical examination institutions) big data, government affairs (government departments) big data, e-commerce (e-commerce platforms like Taobao, Tmall, Suning Commerce Cloud, JD.com, etc.) big data, social networks (Weibo, WeChat, etc.) big data, search engines (Baidu, Google, etc.) big data.
数据管理层(Data Management Layer)
包括数据抽取、转换、存储和管理等服务的各类企业或产品,如分布式文件系统 (如 Hadoop的HDFS 和谷歌的GFS)、ETL 工具 (Informatica、Datastage、Kettle 等)、数据库和数据仓库
(Oracle、MySQL、SQL Server、HBase、GreenPlum 等)。
It includes various enterprises or products that provide services such as data extraction, transformation, storage and management. For example, distributed file systems (such as Hadoop's HDFS and Google's GFS), ETL tools (Informatica, Datastage, Kettle, etc.), databases and data warehouses (Oracle, MySQL, SQL Server, HBase, GreenPlum, etc.).
数据分析层(Data Analysis Layer)
包括提供分布式计算、数据挖掘、统计分析等服务的各类企业或产品,如分布式计算框架MapReduce、统计分析软件SPSS和SAS、数据挖掘工具Weka、数据可视化工具Tableau、BI工具(MicroStrategy、Cognos、BO) 等。
It includes various enterprises or products that provide services such as distributed computing, data mining, and statistical analysis. For example, the distributed computing framework MapReduce, statistical analysis software SPSS and SAS, the data mining tool Weka, the data visualization tool Tableau, and BI tools (MicroStrategy, Cognos, BO).
数据平台层(Data Platform Layer)
包括提供数据分享平台、数据分析平台、数据租售平台等服务的企业或产品,如阿里巴巴、谷歌、中国电信、百度等。
It includes enterprises or products that provide services such as data sharing platforms, data analysis platforms, and data rental and sales platforms. For example, Alibaba, Google, China Telecom, Baidu, etc.
数据应用层(Data Application Layer)
提供智能交通、智慧医疗、智能物流、智能电网等行业应用的企业、机构或政府部门,如交通主管部门、各大医疗机构、菜鸟网络、国家电网等。
Enterprises, institutions or government departments that provide industry applications such as intelligent transportation, smart medical care, intelligent logistics and smart power grids, such as transportation authorities, major medical institutions, Cainiao Network, State Grid, etc.
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文案|小h
排版|小h
审核|Dongyang
参考资料:
文字:《大数据技术原理与应用》
翻译:Kimi.ai
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来源:LearningYard学苑