Lineage tracing for general data warehouse transformations

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Lineage tracing for general data warehouse transformations

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by Yingwei Cui , Jennifer Widom

Venue:	The VLDB Journal
Citations:	171 - 10 self

BibTeX

@ARTICLE{Cui_lineagetracing,
    author = {Yingwei Cui and Jennifer Widom},
    title = {Lineage tracing for general data warehouse transformations},
    journal = {The VLDB Journal},
    year = {},
    pages = {2003}
}

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Abstract

Data warehousing systems integrate information from operational data sources into a central repository to enable analysis and mining of the integrated information. During the integration process, source data typically undergoes a series of transformations, which may vary from simple algebraic operations or aggregations to complex “data cleansing ” procedures. In a warehousing environment, the data lineage problem is that of tracing warehouse data items back to the original source items from which they were derived. We formally define the lineage tracing problem in the presence of general data warehouse transformations, and we present algorithms for lineage tracing in this environment. Our tracing procedures take advantage of known structure or properties of transformations when present, but also work in the absence of such information. Our results can be used as the basis for a lineage tracing tool in a general warehousing setting, and also can guide the design of data warehouses that enable efficient lineage tracing. 1

Keyphrases

general data warehouse transformation system integrate information original source item simple algebraic operation data warehouse lineage tracing central repository known structure tracing procedure source data warehouse data item warehousing environment integration process general warehousing setting operational data source efficient lineage tracing data lineage problem

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