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GB/T 41778-2022 English PDF

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US$269.00 · In stock
Delivery: <= 3 days. True-PDF full-copy in English will be manually translated and delivered via email.
GB/T 41778-2022: Information technology - Industrial big data - Terminology
Status: Valid

Standard ID	USD	BUY PDF	Lead-Days	Standard Title (Description)	Status
GB/T 41778-2022	269	Add to Cart	3 days	Information technology - Industrial big data - Terminology	Valid

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Basic data

Standard ID: GB/T 41778-2022 (GB/T41778-2022)
Description (Translated English): Information technology - Industrial big data - Terminology
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: L70
Classification of International Standard: 35.020; 01.040.35
Word Count Estimation: 14,117
Date of Issue: 2022-10-14
Date of Implementation: 2023-05-01
Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration

GB/T 41778-2022: Information technology - Industrial big data - Terminology

---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
Information technology -- Industrial big data -- Terminology ICS 35.020;01.040.35 CCSL70 National Standards of People's Republic of China Information Technology Industry Big Data Terminology Published on 2022-10-12 2023-05-01 Implementation State Administration for Market Regulation Released by the National Standardization Administration directory Preface I 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 Reference 7 index 8

foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for Standardization Work Part 1.Structure and Drafting Rules of Standardization Documents" drafted. Please note that some content of this document may be patented. The issuing agency of this document assumes no responsibility for identifying patents. This document is proposed and managed by the National Information Technology Standardization Technical Committee (SAC/TC28). This document was drafted by. China Electronics Standardization Institute, Tsinghua University, Merrill Lynch Data Technology Co., Ltd., Beijing Digital University Fang Technology Co., Ltd., Beijing Oriental Jinxin Technology Co., Ltd., Shanghai Intelligent Manufacturing Functional Platform Co., Ltd., Beijing Yixinhua Chen Software Co., Ltd., Peking University, Yuanshu Technology (Wuxi) Co., Ltd., Wuxi Xuelang Digital Technology Co., Ltd., Inspur Cloud Information Technology Technology Co., Ltd. The main drafters of this document. Mei Hong, Sun Wenlong, Du Xiaoyong, Wang Jianmin, Zhang Qun, Wang Chen, Li Xiaoyan, Fan Kefeng, Dong Jian, Li Bing, Yin Zhuo, Wang Weizhong, Wei Fenglin, Xu Zhe, Qi Jianjun, Zhu Daoyun, Li Ying, Cao Youlin, Liu Guojie, Gao Kun, Wang Weizhe, Li Xiaoxin, Wang Fei, Liu Jun, Chen Li, Zi Jinjin, Pang Zhen, Wang Feng, Fang Yadong. Information Technology Industry Big Data Terminology

1 Scope

This document defines common terms and definitions in the field of big data in the information technology industry. This document is suitable for scientific research, teaching and application in the field of industrial big data.

2 Normative references

There are no normative references in this document.

3 Terms and Definitions

3.1 batch processing Decompose a large job into multiple tasks to be processed separately by multiple nodes, and then summarize the results of multiple tasks after the decomposition It is a computing framework for obtaining the final analysis results, which has the capabilities of high availability, high expansion, and high concurrency. [Source. GB/T 37722-2019, 3.2] 3.2 Bill of Materials bilofmaterial A hierarchical schedule of all materials that make up a given product. [Source. GB/T 32236-2015, 2.16] 3.3 cloud storage cloudstorage According to the specified service level with scalability, virtual storage and data services can be used on-demand and billed through the network. means of service delivery. This delivery method requires no configuration or is configured in a self-service fashion. [Source. GB/T 31916.1-2015, 3.1.1] 3.4 data A formalized representation of information that can be reinterpreted, suitable for communication, interpretation or processing. NOTE. Data can be processed by manual or automated means. [Source. GB/T 5271.1-2000, 01.01.02] 3.5 data downsampling The process of reducing the sampling frequency of industrial IoT time series data. 3.6 data quality dataquantity The degree to which a characteristic of data meets explicit and implicit requirements when used under specified conditions. [Source. GB/T 36073-2018, 3.10] ......

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Tips & Frequently Asked Questions:

Question 1: How long will the true-PDF of GB/T 41778-2022_English be delivered?

Answer: Upon your order, we will start to translate GB/T 41778-2022_English as soon as possible, and keep you informed of the progress. The lead time is typically 1 ~ 3 working days. The lengthier the document the longer the lead time.

Question 2: Can I share the purchased PDF of GB/T 41778-2022_English with my colleagues?

Answer: Yes. The purchased PDF of GB/T 41778-2022_English will be deemed to be sold to your employer/organization who actually pays for it, including your colleagues and your employer's intranet.

Question 3: Does the price include tax/VAT?

Answer: Yes. Our tax invoice, downloaded/delivered in 9 seconds, includes all tax/VAT and complies with 100+ countries' tax regulations (tax exempted in 100+ countries) -- See Avoidance of Double Taxation Agreements (DTAs): List of DTAs signed between Singapore and 100+ countries

Question 4: Do you accept my currency other than USD?

Answer: Yes. If you need your currency to be printed on the invoice, please write an email to Sales@ChineseStandard.net. In 2 working-hours, we will create a special link for you to pay in any currencies. Otherwise, follow the normal steps: Add to Cart -- Checkout -- Select your currency to pay.