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Similar standardsGB/T 38672-2020: Information Technology - Big Data - Interface Basic Requirements---This is an excerpt. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.), auto-downloaded/delivered in 9 seconds, can be purchased online: https://www.ChineseStandard.net/PDF.aspx/GBT38672-2020GB NATIONAL STANDARD OF THE PEOPLE’S REPUBLIC OF CHINA ICS 35.240 L 67 Information Technology - Big Data - Interface Basic Requirements ISSUED ON: APRIL 28, 2020 IMPLEMENTED ON: NOVEMBER 1, 2020 Issued by: State Administration for Market Regulation; Standardization Administration of the People’s Republic of China. Table of ContentsForeword ... 3 1 Scope ... 4 2 Normative References ... 4 3 Terms and Definitions ... 4 4 Abbreviations ... 5 5 Interface Framework ... 5 6 Basic Requirements ... 10 Information Technology - Big Data - Interface Basic Requirements1 ScopeThis Standard provides an interface framework based on the big data reference architecture and specifies the basic requirements for the interface. This Standard is applicable to the guidance of the design, development and application deployment of the big data system.2 Normative ReferencesThe following documents are indispensable to the application of this document. In terms of references with a specified date, only versions with a specified date are applicable to this document. In terms of references without a specified date, the latest version (including all the modifications) is applicable to this document. GB/T 35295-2017 Information Technology - Big Data - Terminology GB/T 35589-2017 Information Technology - Big Data - Technical Reference Model3 Terms and DefinitionsWhat is defined in GB/T 35295-2017 and GB/T 35589-2017, and the following terms and definitions are applicable to this document. 3.1 Graph Data Graph data refers to graphical model-based data. NOTE: graphical model is a big data record storage type that can present the relations among data elements. 3.2 Geographic Data Geographic data refers to data directly or indirectly related to a place on the earth. [GB/T 17694-2009, Definition B.206] 3.3 Log Data Log data refers to record data of events that occur during the system operation. privacy protection. The big data framework provider establishes a computing framework, in which, the big data framework provider executes conversion applications while protecting data integrity and privacy. There are abundant interfaces among data provider, data consumer, big data application provider, big data framework provider, security and privacy, and management module, which support information transmission and interoperability among the modules. It has significant influence on the integration, compatibility and interoperability of the big data system. There are also interfaces among the components within the modules to support the interoperability among the components. In accordance with the connected modules, the interfaces may be classified. The various types of interfaces provide corresponding information transmission and interaction functions, so as to satisfy the demands of the object using the interfaces. This Standard bases on the big data reference architecture described in GB/T 35589- 2017 and provides an interface framework (see Figure 1), which includes interfaces among data provider, data consumer, big data application provider, big data framework provider, security and privacy, and management module: Interface 1 is the interface between data provider and big data application provider; Interface 2 is the interface between data consumer and big data application provider; Interface 3 is the interface between big data application provider and big data framework provider; Interface 4 is the interface between management module and other modules (data provider, data consumer, big data application provider, big data framework provider, security and privacy); Interface 5 is the interface between security and privacy module and other modules (data provider, data consumer, big data application provider, big data framework provider and management). NOTE: this Standard does not involve the interface between the system coordinator and the big data application provider in the big data reference architecture. NOTE: for example, a single information verification and multiple information joint verification from a certain information system, as well as a certain information joint comparison and multiple information joint comparison and verification from multiple information systems. 5.3 Interface 2 On the one hand, data consumer issues various data processing instructions (such as: query, retrieval, data mining, report generation and visualization, etc.) to big data application provider through Interface 2. On the other hand, big data application provider returns the data processing results required by data consumer through Interface 2. The commonly seen types of Interface 2 include, but are not limited to: a) Streaming data analysis interface: it is used for real-time streaming data query, and supply of advanced analysis functions (such as: complex event analysis, online machine learning and graph computing, etc.) based on SQL extensions. This type of interface is extensively applied to application scenarios, such as: the Internet of Things, the Internet of Vehicles, smart cities, finance and online recommendation, etc. b) Graph data analysis interface: it is used to query, modify, sub-graph and full- graph traversal of graph data and analyze various graphs (such as: relationship analysis and path planning, etc.). This type of interface is extensively applied to application scenarios, such as: social relationship analysis, anti-fraud, recommendation and precision marketing, etc. c) Log data analysis interface: it is used to query and analyze log data, and provide full-text retrieval, statistical analysis, correlation analysis, monitoring and early warning operations of logs. This type of interface is extensively applied to application scenarios, such as: operation and maintenance of big data system, management and maintenance of enterprise’s information technology system, and business and user behavior analysis, etc. d) Data synchronization interface: it is used for data synchronization and sharing among different business systems. It supports one-time collection and multi- system sharing, and cross-system sharing of data synchronization updates without repeated entry. This type of interface is extensively applied to cross- level, cross-system business data sharing and system interconnection. 5.4 Interface 3 On the one hand, big data application provider issues data calculation, storage or access instructions to big data framework provider through Interface 3; utilizes the various computing, storage and network resources of big data framework provider. On through Interface 4. 5.6 Interface 5 On the one hand, the security and privacy module transmit security and privacy-related configurations and instructions to other modules of the big data system through Interface 5 to support operations, such as: identity management, access authorization and security auditing, etc. On the other hand, the other modules of the bid data system send data security, system security, user privacy-related status, operation and verification requests to the security and privacy module through Interface 5.6 Basic Requirements6.1 Overall Requirements The various types of interfaces shall satisfy the following overall requirements: a) Openness: they shall be in line with the industry habits and compatible with the mainstream open source interfaces; reduce the cost of re-design and adaptation caused by interface customization; b) Ease of use: they shall be designed as an interface that is highly abstract, which shields the underlying implementation and has easily understandable syntax; c) Extensibility: the same interface may support new functions by adding functions, operators and statements. 6.2 Interface 1 The requirements for Interface 1 include: a) It shall support data access from multiple data sources (business systems, databases and files, etc.), multiple data types (such as: business-related data and monitoring data) and multiple data formats (structured data, semi- structured data and unstructured data, etc.); b) It shall support data collection in accordance with the big data collection and retention rules; c) It shall support the monitoring of the interface operating status (for example, the time delay of main function call); it shall be able to find errors in time and generate warning signals; d) It should support the timing (such as: by day, hour and minute, etc.) call and start of multiple data access interface instances; or modifying the attributes of vertices or edges; support associated deletion and definition of attribute types, etc.; 3) It shall support vertex query, path query, sub-graph query and full-graph query; 4) It shall support the query of basic indicators of graph topology, which include, but are not limited to: betweenness centrality and compact centrality, etc.; 5) It shall support basic graph analysis, which includes, but is not limited to: community discovery, triangulation counting and k-core algorithm, etc.; 6) It should provide an interface for mainstream development languages (such as: Java, Scala and Python). c) The requirements for the log analysis interface include: 1) It shall be compatible with the mainstream open source component (for example, Elasticsearch) interfaces; 2) The capability of artificial intelligence analysis shall be provided, which includes, but is not limited to: correlation analysis and abnormal problem identification, etc.; 3) It shall support complex report analysis, which includes, but is not limited to: source analysis, hot pages and average response time, etc.; 4) It shall support early warning settings for related indicators (for example, average corresponding time). d) The requirements for the data synchronization interface include: 1) It should support one-time input for one system, and simultaneous writing of the same data for other shared information systems; 2) It should support cross-system information interoperability and interconnection operations in the business level; 3) It should support synchronous updates of cross-system shared data. 6.4 Interface 3 The requirements for Interface 3 include: a) It shall support common interfaces in the industry; be compatible with the mainstream open source interfaces; support system integration; ......Source: Above contents are excerpted from the full-copy PDF -- translated/reviewed by: www.ChineseStandard.net / Wayne Zheng et al. 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