Research on Mixed Transaction Analytical Data Management Oriented to Data Middle Platform

被引：1

作者：

Zhou, Ai-Hua ^{[1
]}

Zhu, Li-Peng ^{[1
]}

Xu, Meng-Han ^{[2
]}

Pan, Sen ^{[1
]}

Qiao, Jun-Feng ^{[1
]}

Qiu, Hong-Bin ^{[1
]}

Deng, Song ^{[3
]}

机构：

[1] Global Energy Interconnect Res Inst Co LTD, Artificial Intelligence Elect Power Syst State Gr, Beijing, Peoples R China

[2] State Grid Jiangsu Elect Power Co LTD, Informat & Telecommun Branch, Nanjing, Peoples R China

[3] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing, Peoples R China

来源：

PROCEEDINGS OF THE 2021 IEEE INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATICS AND COMPUTING (PIC) | 2021年

关键词：

middle data platform; data processing; online transaction processing; online analytical processing;

D O I：

10.1109/PIC53636.2021.9687022

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To solve the problem of non-synchronization between enterprise application development and data development, this paper puts forward the concept of data middle platform, which combines the two data processing mechanisms of online analytical processing (OLAP) and online transaction processing (OLTP), so that faster and better data services can be provided to the foreground business. On this basis, this paper summarizes the research status of the related technologies of the data middle platform, including the architecture of the data middle platform and the key technologies of constructing the data middle platform. Indepth analysis of the business scale and business characteristics of OLTP and OLAP in various application scenarios, focusing on the technical difficulties in the application process of OLTP and OLAP in the application scenario. Finally, it summarizes the challenges faced by the basic research from three aspects: the construction of data middle platform, data quality assurance, and the application of mixed-thing analytical data management.

引用

页码：308 / 312

页数：5

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