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

2021 IEEE International Conference on Progress in Informatics and Computing (PIC) Pub Date : 2021-12-17 DOI:10.1109/PIC53636.2021.9687022

Aihua Zhou, Li-Peng Zhu, Meng Xu, Sen Pan, Junfeng Qiao, Hongyan Qiu, Song Deng

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引用次数: 2

Abstract

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. In-depth 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.

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面向数据中间平台的混合事务分析数据管理研究

为了解决企业应用开发与数据开发不同步的问题，本文提出了数据中间平台的概念，将联机分析处理(online analytical processing, OLAP)和联机事务处理(online transaction processing, OLTP)两种数据处理机制结合起来，为前台业务提供更快更好的数据服务。在此基础上，本文总结了数据中间平台相关技术的研究现状，包括数据中间平台的体系结构和构建数据中间平台的关键技术。深入分析OLTP和OLAP在各种应用场景下的业务规模和业务特点，重点分析OLTP和OLAP在应用场景下应用过程中的技术难点。最后，从数据中间平台建设、数据质量保障、混合物分析数据管理应用三个方面总结了基础研究面临的挑战。

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2021 IEEE International Conference on Progress in Informatics and Computing (PIC)

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