On 17 September and 28 December 2020, the Ministry of Industry and Information Technology (MIIT) approved two new batches of communication sector standards – among which there are 8 big data standards which were led by the China Academy of Information and Communications Technology (CAICT). Specifically
| Standard Name | Standard No. |
| Big Data – Technical Requirements and Test Methods for Business Intelligence (BI) Analysis Tools | YD/T 3759-2020 |
| Big Data – Technical Requirements and Test Methods for Data Management Platforms | YD/T 3760-2020 |
| Big Data – Technical Requirements and Test Methods for Data Integration Tools | YD/T 3761-2020 |
| Big Data – Technical Requirements and Test Methods for Data Mining Platforms | YD/T 3762-2020 |
| Big Data – Technical Requirements and Test Methods for Time Series Databases | YD/T 3772-2020 |
| Big Data – Technical Requirements and Test Methods for Distributed Batch Processing Platforms | YD/T 3773-2020 |
| Big Data – Technical Requirements and Test Methods for Distributed Analytical Databases | YD/T 3774-2020 |
| Big Data – Technical Requirements and Test Methods for Distributed Transaction Databases | YD/T 3775-2020 |
These 8 standards are all based on research and drafts completed by the Big Data Technology Standards Committee of the Chinese Communication Standardisation Association (CCSA TC601). They were discussed and finally approved by the CCSA TC1 WG6 Big Data and Blockchain Working Group. More than 30 organisations participated in the process, including Huawei, Ali Cloud, Tencent Cloud, ZTE, the Institute of Computing Technology of the Chinese Academy of Sciences, China Telecom, China Mobile, and China Unicom.
At present, CAICT has more than 40 big data standards under development, covering data processing platforms, databases, data analysis tools, application solutions, trusted data services, Capability Maturity Model, as well as other big data whole process categories. These standards will define the technical requirements and specific testing methods of various products and solutions using big data, thus will be applicable throughout the R&D, testing, evaluation and acceptance phases of big data products.
Chinese text for reference:
