Abstract: Date-warehouse systems are populated using an enhanced Extraction-Load-Transform (ETL) process and system by employing three ideas: Out-of-order-fill ETL, relative-ordering index (ROI), and dependent queries. Out-of-order-fill ETL allows a data warehouse to accept the loading of data files in any order, and does not require the loading of any previous backup data files in order to provide some functionality to end users under the view that some functionality or data access is better than none at all. Dependent queries are processes that use defined data structures for use in constructing, extracting, and validating each record to be written in said data-warehouse system in order to ensure that referential integrity is maintained and that no orphaned data is pushed into the data warehouse. Finally, ROI is a process wherein a value is determined, based on the constraints of the source data, which indicates the relative newness of the data.

Abstract: Date-warehouse systems are populated using an enhanced Extraction-Load-Transform (ETL) process and system by employing three ideas: Out-of-order-fill ETL, relative-ordering index (ROI), and dependent queries. Out-of-order-fill ETL allows a data warehouse to accept the loading of data files in any order, and does not require the loading of any previous backup data files in order to provide some functionality to end users under the view that some functionality or data access is better than none at all. Dependent queries are processes that use defined data structures for use in constructing, extracting, and validating each record to be written in said data-warehouse system in order to ensure that referential integrity is maintained and that no orphaned data is pushed into the data warehouse. Finally, ROI is a process wherein a value is determined, based on the constraints of the source data, which indicates the relative newness of the data.