TL;DRAbstract
The back-end tools of a data warehouse are pieces of software responsible for the extraction of data from several sources, their cleansing, customization, and insertion into a data warehouse. They are known under the general term extraction, transformation and loading (ETL) tools. In all the phases of an ETL process (extraction and exportation, transformation and cleaning, and loading), individual issues arise and, along with the problems and constraints that concern the overall ETL process, make its lifecycle a very complex task.
Chat with Paper
AI Agents for this Paper
The back-end tools of a data warehouse are pieces of software responsible for the extraction of data from several sources, their cleansing, customization, and insertion into a data warehouse. They are known under the general term extraction, transformation and loading (ETL) tools. In all the phases of an ETL process (extraction and exportation, transformation and cleaning, and loading), individual issues arise and, along with the problems and constraints that concern the overall ETL process, make its lifecycle a very complex task.
Keywords
Chat
Click to start Chat