Stanford InfoLab Publication Server

Lineage Tracing for General Data Warehouse Transformations

Cui, Yingwei and Widom, Jennifer (2001) Lineage Tracing for General Data Warehouse Transformations. In: 27th International Conference on Very Large Data Bases (VLDB 2001) , September, 2001, Rome, Italy.




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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:lineage, data transformation, schema mapping
Subjects:Computer Science > Data Warehousing
Related URLs:Project Homepage
ID Code:525
Deposited By:Import Account
Deposited On:28 Jan 2001 16:00
Last Modified:27 Dec 2008 09:52

Download statistics

Repository Staff Only: item control page