A non-intrusive and reactive architecture to support real-time ETL processes in data warehousing environments.

ABSTRACT: Nowadays, organizations are very interested to gather data for strategic decision-making. Data are disposable in operational sources, which are distributed, heterogeneous, and autonomous. These data are gathered through ETL processes, which occur traditionally in a pre-defined time, that is, once a day, once a week, once a month or in a specific period of time. On the other hand, there are special applications for which data needs to be obtained in a faster way and sometimes even immediately after the data are generated in the operation data sources, such as health systems and digital agriculture. Thus, the conventional ETL process and the disposable techniques are incapable of making the operational data delivered in real-time, providing low latency, high availability, and scalability. As

SUBMITTER: de Assis Vilela F 

PROVIDER: S-EPMC10196447 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature