Research on Data Integration Based on Kettle

Autor:	Cai Wuyue, Chen Huaichu, Suping Xie, Wang Zhen
Rok vydání:	2018
Předmět:	geography geography.geographical_feature_category Source data Database Computer science Sort-merge join InformationSystems_DATABASEMANAGEMENT computer.software_genre Kettle (landform) Transaction log Component (UML) Join (sigma algebra) Timestamp computer Data integration
Zdroj:	2018 9th International Conference on Information Technology in Medicine and Education (ITME).
DOI:	10.1109/itme.2018.00211
Popis:	Kettle is a powerful ETL tool for data integration. We implement kettle in the data integration and sharing of the basic database. The key issues of ETL implementation include multi-data source data consolidation and data incremental update. We put forward the “merge join” and “database join” solutions for multi-data source data consolidation and the “timestamps”, “triggers”, “Database log data” and “Data comparison” solution for data incremental update issue.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f2f433c9c00ac0924c5d4060aeed1811 https://doi.org/10.1109/itme.2018.00211 Zobrazit plný text záznamu