Research and Design of Universal Data Migration Tool in Information System

doi:10.3969/j.issn.1006-2475.2010.06.045

Computer and Modernization ›› 2010, Vol. 1 ›› Issue (6): 156-0158.doi: 10.3969/j.issn.1006-2475.2010.06.045

• 应用与开发 • Previous Articles Next Articles

Research and Design of Universal Data Migration Tool in Information System

XU Yan, LIANG Zheng-he

College of Computer and Information Engineering, Hohai University, Nanjing 210098, China

Received:2010-01-14 Revised:1900-01-01 Online:2010-07-01 Published:2010-07-01

Abstract

Abstract: Data migration is the question in information system which often meets in the promotion. This paper introduces to use Java and XML to achieve data migration between heterogeneous databases, to resolve the data heterogeneity of data conversion. Data migration has three parts which are the data extraction, data transformation and data loading. It also introduces the XML technology to achieve a common data migration tool, which makes it has good versatility and extensibility.

Key words: heterogeneous data, XML, extraction, transformation, loading

CLC Number:

TP311

XU Yan;LIANG Zheng-he. Research and Design of Universal Data Migration Tool in Information System[J]. Computer and Modernization, 2010, 1(6): 156-0158.

[1]	WANG Qiu-yi, ZHOU Hao, ZHENG Ting-ting. Improved RetinaNet Target Detection Method for Power Equipment [J]. Computer and Modernization, 2024, 0(01): 47-52.
[2]	LIU Yu-peng, GE Yan, DU Jun-wei, CHEN Zhuo. Joint Extraction Method of Entities and Relations Based on FGM and Pointer Annotation [J]. Computer and Modernization, 2023, 0(11): 1-5.
[3]	YAN Yang, ZHAN Zi-jun, CAO Shao-hua. Collaborative Device-based Large-scale Offloading: A Bi-level Optimization Algorithm Fusing Divide-and-conquer and Greedy [J]. Computer and Modernization, 2023, 0(11): 13-21.
[4]	YANG Liu-qing, WANG Chong. Personalized Recommendation Method of Web Service Resources Based on Maximum Entropy [J]. Computer and Modernization, 2023, 0(09): 32-37.
[5]	HU Rui-jie, CHE Dou. Review of Infrared Small Target Detection [J]. Computer and Modernization, 2023, 0(08): 79-86.
[6]	CHEN Gang, WANG Zhi-jian, XU Sheng-chao. Mobile Edge Computing Task Offloading Based on Feasible Point Tracking Continuous#br# Convex Approximation [J]. Computer and Modernization, 2023, 0(08): 93-97.
[7]	LU Wei-qiang. Hybrid Cloud Data Architecture for Civil Aircraft Manufacturing [J]. Computer and Modernization, 2023, 0(06): 95-102.
[8]	WANG Xin-yi, YIN Si-qing, HONG Jun. Asymmetric Deep Supervised Hashing with Attention Mechanism [J]. Computer and Modernization, 2023, 0(05): 26-31.
[9]	SHENG Jia-jie, NIU Sheng-jie, CHENG Yang, FANG Wei-qing, ZHANG Yu-jie, LI Peng, HU Su-jun. Overview of State Machine Inference Technology for Unknown Protocols [J]. Computer and Modernization, 2023, 0(05): 58-67.
[10]	PAN Feng, WANG Jie, ZHANG Yan-sha, TAN Mian, HE Xing, WANG Lin, . Person Re-identification Based on Dual-branch Feature Concatenation [J]. Computer and Modernization, 2023, 0(05): 93-99.
[11]	WEI Xin, HE Xiao-hai, TENG Qi-zhi, QING Lin-bo, CHEN Hong-gang. Event Extraction Method Based on BERT-BiLSTM-Attention Hybrid Model [J]. Computer and Modernization, 2023, 0(04): 26-31.
[12]	XU Kang-jian, GONG Hong-ning, LI Can, TONG De-yu. SVR-based Image Watermarking Algorithm with Adaptive Embedding Intensity [J]. Computer and Modernization, 2023, 0(03): 38-42.
[13]	WANG Hao-chang, LIU Ru-yi. Review of Relation Extraction Based on Pre-training Language Model [J]. Computer and Modernization, 2023, 0(01): 49-57.
[14]	ZHANG Xiao-dong, WANG Xu-ying, QIN Zi-xuan. Pump Detection Period Predicting of Pump Well Based on Feature Fusion [J]. Computer and Modernization, 2022, 0(12): 60-66.
[15]	DING Zhong-lin, LI Yang, CAO Wei, TAN Yu-hao, XU Bo. Deep Q-learning Based Task Offloading in Power IoT [J]. Computer and Modernization, 2022, 0(11): 75-80.

Research and Design of Universal Data Migration Tool in Information System

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments