GB/T 37721-2019 PDF English
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| Standard ID | Contents [version] | USD | STEP2 | [PDF] delivery | Name of Chinese Standard | Status |
| GB/T 37721-2019 | English | 359 |
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Information technology - Functional requirements for big data analytic systems
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GB/T 37721-2019: Information technology - Functional requirements for big data analytic systems---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/GBT37721-2019
Information technology - Functional requirements for big data analytic systems
ICS 35.240
L67
National Standards of People's Republic of China
Information Technology Big Data Analysis System Functional Requirements
Published on.2019-08-30
2020-03-01 implementation
State market supervision and administration
China National Standardization Administration issued
Content
Foreword III
1 Scope 1
2 Normative references 1
3 Terms and Definitions 1
4 Abbreviations 1
5 General requirements 2
6 Data Preparation Module Functional Requirements 2
6.1 Data extraction function requirements 2
6.2 Data Cleaning Function Requirements 2
6.3 Data Conversion Function Requirements 3
6.4 Data Loading Function Requirements 3
7 Analysis support module function requirements 3
7.1 Query function requirements 3
7.2 Machine Learning Function Requirements 4
7.3 Statistical Analysis Function Requirements 4
7.4 Visualization Requirements 4
8 Data Analysis Module Functional Requirements 5
8.1 Analysis Mode 5
8.2 Analysis Type 6
9 Process Orchestration Module Functional Requirements 6
9.1 Workflow Management 6
9.2 Alarms and Logs 6
Appendix A (informative) SQL keyword 7
Foreword
This standard was drafted in accordance with the rules given in GB/T 1.1-2009.
Please note that some of the contents of this document may involve patents. The issuing organization of this document is not responsible for identifying these patents.
This standard is proposed and managed by the National Information Technology Standardization Technical Committee (SAC/TC28).
This standard was drafted. Inspur Electronic Information Industry Co., Ltd., China Electronics Technology Standardization Institute, Qinzhi Digital Technology Unit
Co., Ltd., Hangzhou Hikvision Digital Technology Co., Ltd., Inspur Software Group Co., Ltd., Shanghai Computer Software Technology Development
Center, Xinhua San Technology Co., Ltd., Tianjin Nanda General Data Technology Co., Ltd., ZTE Corporation, Huawei Technologies
Limited Company, Xinghuan Information Technology (Shanghai) Co., Ltd., Beijing Beng Information Technology Co., Ltd., Beiming Software Co., Ltd., Harbin Harbin
Great Data General Technology Co., Ltd., State Grid Shanghai Electric Power Company, Shaanxi Information Engineering Research Institute, Nanjing NARI Information and Communication Technology
Ltd., Guangzhou Inspur Big Data Research Co., Ltd., Hangzhou Zhongao Technology Co., Ltd., Keda Xunfei Co., Ltd.
The main drafters of this standard. Su Zhiyuan, Zhang Dong, Zhao Jiang, Wei Fenglin, Zhang Qun, Liu Yufeng, Li Zheng, Zhao Shifan, Huang Xianzhi, Wang Jianhua,
Chen Mingang, Liu Zhenyu, Cai Lizhi, Pan Zijian, Zhao Wei, Sun Ka, Wu Wenfeng, Liu Wei, Wang Dong, Zhao Hua, Fu Haifang, Zhou Hongming, Sun Wei, Wang Jiangping,
Wang Jinhong, Zhao Zhiqiang, Wang Gang, Wang Hongzhi, Guo Naiwang, Su Yun, Zhang Yong, Sun Lihua, Tang Ning, Liu Guangqing, Shen Beilun, Lu Yun, Wu Xin, Zhang Shaoyong,
Zhao Gan, Li Bing, Yin Zhuo, Sun Jiayang.
Information Technology Big Data Analysis System Functional Requirements
1 Scope
This standard specifies the data preparation module, analysis support module, data analysis module and process programming module of the big data analysis system.
Can ask.
This standard applies to the design, development and application deployment of big data analysis systems.
2 Normative references
The following documents are indispensable for the application of this document. For dated references, only dated versions apply to this article.
Pieces. For undated references, the latest edition (including all amendments) applies to this document.
GB/T 35295-2017 Information Technology Big Data Terminology
3 Terms and definitions
The following terms and definitions defined in GB/T 35295-2017 apply to this document.
3.1
Big data analytics system bigdataanalyticsystems
Integrates a range of data analysis lifecycles based on raw data and computational frameworks provided by big data storage and processing systems
The system of tools used in the process.
3.2
Structured data structureddata
Stored in the database, the data can be represented by a two-dimensional table structure.
3.3
Unstructured data unstructureddata
Data other than structured data without explicit structural constraints.
3.4
Distributed execution plan distributedexecutionplan
The SQL query plan in a distributed scenario needs to split the SQL into multiple slices and multiple steps according to the data distribution characteristics.
Scheduling for multiple nodes to execute in parallel.
4 Abbreviations
The following abbreviations apply to this document.
API. Application Programming Interface (ApplicationProgrammingInterface)
GPU. Graphics Processor (GraphicsProcessingUnit)
JSON. JS object tag (JavaScriptObjectNotation)
OLAP. Online Analytical Processing (On-LineAnalyticalProcessing)
REST. Representational State Transfer (RepresentationalStateTransfer)
GB/T 37721-2019
Information technology - Functional requirements for big data analytic systems
ICS 35.240
L67
National Standards of People's Republic of China
Information Technology Big Data Analysis System Functional Requirements
Published on.2019-08-30
2020-03-01 implementation
State market supervision and administration
China National Standardization Administration issued
Content
Foreword III
1 Scope 1
2 Normative references 1
3 Terms and Definitions 1
4 Abbreviations 1
5 General requirements 2
6 Data Preparation Module Functional Requirements 2
6.1 Data extraction function requirements 2
6.2 Data Cleaning Function Requirements 2
6.3 Data Conversion Function Requirements 3
6.4 Data Loading Function Requirements 3
7 Analysis support module function requirements 3
7.1 Query function requirements 3
7.2 Machine Learning Function Requirements 4
7.3 Statistical Analysis Function Requirements 4
7.4 Visualization Requirements 4
8 Data Analysis Module Functional Requirements 5
8.1 Analysis Mode 5
8.2 Analysis Type 6
9 Process Orchestration Module Functional Requirements 6
9.1 Workflow Management 6
9.2 Alarms and Logs 6
Appendix A (informative) SQL keyword 7
Foreword
This standard was drafted in accordance with the rules given in GB/T 1.1-2009.
Please note that some of the contents of this document may involve patents. The issuing organization of this document is not responsible for identifying these patents.
This standard is proposed and managed by the National Information Technology Standardization Technical Committee (SAC/TC28).
This standard was drafted. Inspur Electronic Information Industry Co., Ltd., China Electronics Technology Standardization Institute, Qinzhi Digital Technology Unit
Co., Ltd., Hangzhou Hikvision Digital Technology Co., Ltd., Inspur Software Group Co., Ltd., Shanghai Computer Software Technology Development
Center, Xinhua San Technology Co., Ltd., Tianjin Nanda General Data Technology Co., Ltd., ZTE Corporation, Huawei Technologies
Limited Company, Xinghuan Information Technology (Shanghai) Co., Ltd., Beijing Beng Information Technology Co., Ltd., Beiming Software Co., Ltd., Harbin Harbin
Great Data General Technology Co., Ltd., State Grid Shanghai Electric Power Company, Shaanxi Information Engineering Research Institute, Nanjing NARI Information and Communication Technology
Ltd., Guangzhou Inspur Big Data Research Co., Ltd., Hangzhou Zhongao Technology Co., Ltd., Keda Xunfei Co., Ltd.
The main drafters of this standard. Su Zhiyuan, Zhang Dong, Zhao Jiang, Wei Fenglin, Zhang Qun, Liu Yufeng, Li Zheng, Zhao Shifan, Huang Xianzhi, Wang Jianhua,
Chen Mingang, Liu Zhenyu, Cai Lizhi, Pan Zijian, Zhao Wei, Sun Ka, Wu Wenfeng, Liu Wei, Wang Dong, Zhao Hua, Fu Haifang, Zhou Hongming, Sun Wei, Wang Jiangping,
Wang Jinhong, Zhao Zhiqiang, Wang Gang, Wang Hongzhi, Guo Naiwang, Su Yun, Zhang Yong, Sun Lihua, Tang Ning, Liu Guangqing, Shen Beilun, Lu Yun, Wu Xin, Zhang Shaoyong,
Zhao Gan, Li Bing, Yin Zhuo, Sun Jiayang.
Information Technology Big Data Analysis System Functional Requirements
1 Scope
This standard specifies the data preparation module, analysis support module, data analysis module and process programming module of the big data analysis system.
Can ask.
This standard applies to the design, development and application deployment of big data analysis systems.
2 Normative references
The following documents are indispensable for the application of this document. For dated references, only dated versions apply to this article.
Pieces. For undated references, the latest edition (including all amendments) applies to this document.
GB/T 35295-2017 Information Technology Big Data Terminology
3 Terms and definitions
The following terms and definitions defined in GB/T 35295-2017 apply to this document.
3.1
Big data analytics system bigdataanalyticsystems
Integrates a range of data analysis lifecycles based on raw data and computational frameworks provided by big data storage and processing systems
The system of tools used in the process.
3.2
Structured data structureddata
Stored in the database, the data can be represented by a two-dimensional table structure.
3.3
Unstructured data unstructureddata
Data other than structured data without explicit structural constraints.
3.4
Distributed execution plan distributedexecutionplan
The SQL query plan in a distributed scenario needs to split the SQL into multiple slices and multiple steps according to the data distribution characteristics.
Scheduling for multiple nodes to execute in parallel.
4 Abbreviations
The following abbreviations apply to this document.
API. Application Programming Interface (ApplicationProgrammingInterface)
GPU. Graphics Processor (GraphicsProcessingUnit)
JSON. JS object tag (JavaScriptObjectNotation)
OLAP. Online Analytical Processing (On-LineAnalyticalProcessing)
REST. Representational State Transfer (RepresentationalStateTransfer)
......
Source: Above contents are excerpted from the full-copy PDF -- translated/reviewed by: www.ChineseStandard.net / Wayne Zheng et al.
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