Choosing Data Integration Approaches Based on Data Source Characterization
| Autor: | Maria Cláudia Cavalcanti, Júlio Tesolin |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Data source Computer science business.industry Process (engineering) Big data Volume (computing) computer.software_genre Virtualization Data science Variety (cybernetics) 03 medical and health sciences 030104 developmental biology Work (electrical) business computer Data integration |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319644677 DEXA (1) |
| DOI: | 10.1007/978-3-319-64468-4_17 |
| Popis: | The Big Data era is an inevitable consequence of our capacity to generate and collect data. Therefore, data sources got a more dynamic behavior and the challenge to manage data source’s integration process and the network traffic between data producers and consumers has been overwhelmed by the number of data sources and their content’s volume, by the variety of their structures and formats and by the velocity of their appearance. This work presents a method to help users in choosing an appropriate approach (materialization or virtualization) for each data source in an integration environment. |
| Databáze: | OpenAIRE |
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