| Cui, Y.: Lineage tracing in data warehouses. PhD thesis, Computer Science Department, Stanford University (2001) |
.... is termed the data lineage problem [1] Supporting lineage tracing in data warehousing environments brings several benefits and applications, including in depth data analysis, on line analysis mining (OLAM) scientific databases, authorization management, and materialized view schema evolution [2, 3, 4, 1, 5, 6]. AutoMed is a data transformation and integration system, supporting both virtual and materialized integration of schemas expressed in a variety of modelling languages. This system is being developed in a collaborative EPSRC funded project between Birkbeck and Imperial Colleges, London see ....
....provenance. Why provenance refers to the source data that had some influence on the existence of the integrated data. Where provenance refers to the actual data in the sources from which the integrated data was extracted. The problem of why provenance has been studied for relational databases in [1, 3, 4, 15]. Here, we introduce the notions of affect and origin provenance in the context of AutoMed, and discuss lineage tracing algorithms for both these the two kinds of provenance. There are also other previous works related to data lineage tracing [2, 6, 5] Most of these consider coarse grained ....
Cui, Y.: Lineage tracing in data warehouses. PhD thesis, Computer Science Department, Stanford University (2001)
.... is termed the data lineage problem [8] Supporting lineage tracing in data warehousing environments brings several benefits and applications, including indepth data analysis, on line analysis mining (OLAM) scientific databases, authorization management, and materialized view schema evolution [2, 20, 6, 8, 10, 9]. Automed (http: www.ic.ac.uk Automed) is a data transformation and integration system, supporting both virtual and materialized integration of schemas expressed in a variety of modelling languages. This system is being developed in a collaborative EPSRC funded project between Birkbeck and ....
....provenance. Why provenance refers to the source data that had some influence on the existence of the integrated data. Where provenance refers to the actual data in the sources from which the integrated data was extracted. The problem of why provenance has been studied for relational databases in [8, 20, 6, 7]. Here, we introduce the notions of affect and origin provenance, give definitions for data lineage in Automed, and discuss the lineage tracing algorithms for these the two kinds of provenance. There are also other previous works related to data lineage tracing [2, 9, 10] Most of these consider ....
Y. Cui. Lineage tracing in data warehouses. phd thesis. Technical report, Computer Science Department, Stanford University, 2001.
....fine grained (or instance level) lineage tracing: we retrieve the actual set of source data items that derived a given warehouse data item. As will be seen, in some cases we can use coarse grained lineage information (schema mappings) in support of our fine grained lineage tracing techniques. In [Cui01] we extend the work in this paper with an annotation based technique for instance level lineage tracing, similar in spirit to the schema level annotation techniques in [BB99] It is worth noting that although an annotation based approach can improve lineage tracing performance, it is likely to ....
Y. Cui. Lineage tracing in data warehouses. Ph.D. Thesis, Computer Science Department, Stanford University, 2001.
No context found.
Cui, Y.: Lineage tracing in data warehouses. PhD thesis, Computer Science Department, Stanford University (2001)
No context found.
Y. Cui. Lineage tracing in data warehouses. PhD thesis, Computer Science Department, Stanford University, 2001.
No context found.
Y. Cui. Lineage tracing in data warehouses. phd thesis. Technical report, Computer Science Department, Stanford University, 2001.
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