A Service-Oriented Framework for ETL Implementation

被引：2

作者：

Oliveira, Bruno ^{[1
]}

Leite, Mario ^{[1
]}

Oliveira, Oscar ^{[1
]}

Belo, Orlando ^{[2
]}

机构：

[1] Porto Polytech, Sch Management & Technol, CIICESI, Felgueiras, Portugal

[2] Univ Minho, ALGORITMI R&D Ctr, Campus Gualtar, Braga, Portugal

来源：

PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2022 | 2022年 / 13566卷

关键词：

Analytical systems; ETL patterns; Service-oriented approach; ETL as a service;

D O I：

10.1007/978-3-031-16474-3_52

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The development of analytical systems imposes several challenges related not only to the amount and heterogeneity of the involved data but also to the constant need to readapt and evolve to overcome new business challenges. The data modelling layer represents the mapping between the domain and technical knowledge, however, to organize raw data into a form that can be used for analytics, specific Extract, Transform and Load (ETL) processes should be applied. ETL systems are recognized as a critical and tightly coupled system component that encapsulates data-level requirements that are hard to implement and maintain. In a Big Data era, adaptability and extensibility are important characteristics to hold when developing analytical systems. Thus, to provide more consistent, reliable, flexible, and reusable ETL processes, a service-oriented implementation for ETL development is proposed.

引用

页码：636 / 647

页数：12

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