Name
Abstract | ||
|---|---|---|
One of the areas of data integration covers systems that maintain co- herence among a heterogeneous set of databases. Such a system repeatedly col- lects data from the local databases, synchronizes them, and pushes the updates back. One of the key problems in this architecture is the conflict resolution. When data in a less relevant data source changes, it should not cause any data change in a store with higher relevancy. To meet such requirements, we propose a DataPile structure with following main advantages: effective storage of historical versions of data, straightfor- ward adaptation to global schema changes, separation of data conversion and replication logic, simple implementation of data relevance. Key usage of such mechanisms is in projects with following traits or require- ments: integration of heterogeneous data from sources with different reliability, data coherence of databases whose schema differs, data changes are performed on local databases and minimal load on the central database. |
Year | Venue | Keywords |
|---|---|---|
2005 | advances in databases and information systems | col,conflict resolution,data integrity |
Field | DocType | Citations |
Data integration,Data source,Data mining,Architecture,Computer science,Conflict resolution,Central database,Coherence (physics),Data conversion,Schema (psychology) | Conference | 8 |
PageRank | References | Authors |
0.82 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Bednárek | 1 | 43 | 10.89 |
| David Obdrzálek | 2 | 8 | 2.17 |
| Jakub Yaghob | 3 | 114 | 15.74 |
| Filip Zavoral | 4 | 119 | 19.01 |