ETL based data integration scheduling
Qianqian Zheng · Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022) · 2023
As the open source ETL tool with the largest number of users, Kettle's powerful and concise functions are welcomed by the majority of ETL practitioners. ETL is the process of extracting, converting and loading data from the data source to the target. Based on the enterprise data model, ETL builds a reasonable data storage mode, establishes an enterprise data exchange platform, meets the data exchange needs between various application systems, provides all-round data services, and meets the data support needs of enterprise decision-making [1]. In addition to formulating the corresponding extraction, transformation and loading tasks, ETL tools are also particularly important for the formulation of scheduling monitoring. For industrial economic data, benefit data and production data are generated periodically (such as daily, weekly and daily). Through the scheduler, users can more easily realize ETL task scheduling management, task execution performance and other data monitoring and analysis. However, Kettle's scheduling and monitoring function is very weak. This paper will use the scheduling system to monitor and schedule tasks to improve the efficiency of data integration.