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What is a data center, data center room cabinet
by：TNE
2021-04-10
What is a data center?
data center is an enterprise's business system and data resources for centralized, integration, sharing and the analysis of the organic combination of site, tools, processes, etc. From the application level, including business system, based on the analysis of the data warehouse system; From the data level, including operational data and analytical data and the integration of data and the data/integration process; From infrastructure level, including servers, network, storage, and overall IT operation maintenance services, and we are better by industry is dedicated to provide data center inside chassis cabinets, server cabinets manufacturer. So with this cooperation, hope can cooperate with you, sincerely at your service.
data center construction goal:
1, the completed company headquarters and the provincial company two levels of data center, gradually implement the data and the concentration of business system;
2, to set up the enterprise data warehouse, provide rich data analysis show the function;
3, realize the uniqueness of data and sharing;
4, to establish a unified security system, ensure the safety of data and business system access;
5, combined with data center construction, improving the data exchange system, realizing the cascade between two levels of data center;
6, network, hardware, storage devices, data, business system and management process, IT procurement process, the unification of the data exchange process focus;
7, unified information management model and unified technical architecture, able to quickly deploy the various IT systems, promote management ability.
data center system structure with headquarters and network in data center deployed province two stage, two levels of data center through the data exchange platform for the cascade of data. Data center logical architecture include: application architecture, data architecture, implementation architecture, infrastructure, Physical architecture) , security architecture, operational architecture.
application architecture: application architecture is supported by index according to the center of all application system deployment and the relationship between them.
the data architecture, data architecture is to point to each application system module composition, mutual relations and the storage of data, include data standards and means of control, etc. Executed architecture:
architecture is the key to the index according to the warehouse at run temporal function and service process, including ETL ( Data access and integration) The architecture and data access architectures.
infrastructure ( Physical architecture) : for the upper application system to provide the hardware support platform ( Mainly including servers, network, storage, and other hardware facilities) 。
security architecture, security architecture cover parts data center, including operations, applications, data, infrastructure, etc. It refers to provide the system hardware and software aspects of the overall safety of the sum of all the services and technology tools.
operational architecture: operational architecture enterprise management information system, for the whole information system to build a unified management platform, and provide the related management maintenance tools, such as system management platform, data backup tool and related management process. Center principle
data data access and integration is also called the ETL ( 提取、交易、负载) , is a good data mart in determining model and analyze the data source, according to the results of the analysis, from the application system of the original extract relevant business data, according to the requirements of the data center storage components, data exchange and load. Data access and integration consists of data extraction, data transformation and data loading of three steps. The stand or fall of ETL, directly affect the quality of data in the data mart. Data store block is designed for enterprise data integration and data storage requirements and the centralization of the organization, the integration of the data storage area. Data warehouse is composed of enterprise information covering many subject domains, these messages are mainly low level, fine-grained data, as well as according to the data analysis needs to establish a certain particle size of summary data. They regularly updated according to certain frequency, is mainly used to provide consolidated data mart, the high quality of the data. The data warehouse focused on data storage and integration. A data mart is a set of specific, for a subject field, department or user classification of data collection. The need for users fast access to data and data output optimization, optimization way can be realized through the summary data structure and index.
data center is an enterprise's business system and data resources for centralized, integration, sharing and the analysis of the organic combination of site, tools, processes, etc. From the application level, including business system, based on the analysis of the data warehouse system; From the data level, including operational data and analytical data and the integration of data and the data/integration process; From infrastructure level, including servers, network, storage, and overall IT operation maintenance services, and we are better by industry is dedicated to provide data center inside chassis cabinets, server cabinets manufacturer. So with this cooperation, hope can cooperate with you, sincerely at your service.
data center construction goal:
1, the completed company headquarters and the provincial company two levels of data center, gradually implement the data and the concentration of business system;
2, to set up the enterprise data warehouse, provide rich data analysis show the function;
3, realize the uniqueness of data and sharing;
4, to establish a unified security system, ensure the safety of data and business system access;
5, combined with data center construction, improving the data exchange system, realizing the cascade between two levels of data center;
6, network, hardware, storage devices, data, business system and management process, IT procurement process, the unification of the data exchange process focus;
7, unified information management model and unified technical architecture, able to quickly deploy the various IT systems, promote management ability.
data center system structure with headquarters and network in data center deployed province two stage, two levels of data center through the data exchange platform for the cascade of data. Data center logical architecture include: application architecture, data architecture, implementation architecture, infrastructure, Physical architecture) , security architecture, operational architecture.
application architecture: application architecture is supported by index according to the center of all application system deployment and the relationship between them.
the data architecture, data architecture is to point to each application system module composition, mutual relations and the storage of data, include data standards and means of control, etc. Executed architecture:
architecture is the key to the index according to the warehouse at run temporal function and service process, including ETL ( Data access and integration) The architecture and data access architectures.
infrastructure ( Physical architecture) : for the upper application system to provide the hardware support platform ( Mainly including servers, network, storage, and other hardware facilities) 。
security architecture, security architecture cover parts data center, including operations, applications, data, infrastructure, etc. It refers to provide the system hardware and software aspects of the overall safety of the sum of all the services and technology tools.
operational architecture: operational architecture enterprise management information system, for the whole information system to build a unified management platform, and provide the related management maintenance tools, such as system management platform, data backup tool and related management process. Center principle
data data access and integration is also called the ETL ( 提取、交易、负载) , is a good data mart in determining model and analyze the data source, according to the results of the analysis, from the application system of the original extract relevant business data, according to the requirements of the data center storage components, data exchange and load. Data access and integration consists of data extraction, data transformation and data loading of three steps. The stand or fall of ETL, directly affect the quality of data in the data mart. Data store block is designed for enterprise data integration and data storage requirements and the centralization of the organization, the integration of the data storage area. Data warehouse is composed of enterprise information covering many subject domains, these messages are mainly low level, fine-grained data, as well as according to the data analysis needs to establish a certain particle size of summary data. They regularly updated according to certain frequency, is mainly used to provide consolidated data mart, the high quality of the data. The data warehouse focused on data storage and integration. A data mart is a set of specific, for a subject field, department or user classification of data collection. The need for users fast access to data and data output optimization, optimization way can be realized through the summary data structure and index.
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