Integrating Big Data: A Semantic Extract-Transform-Load Framework
Description
Current tools that facilitate the extract-transform-load (ETL) process focus on ETL workflow, not on generating meaningful semantic relationships to integrate data from multiple, heterogeneous sources. A proposed semantic ETL framework applies semantics to various data fields and so allows richer data integration.
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2015-03-01
Agent
- Author (aut): Bansal, Srividya
- Author (aut): Kagemann, Sebastian
- Contributor (ctb): Ira A. Fulton Schools of Engineering