公开(公告)号：US20190026322A1

公开(公告)日：2019-01-24

申请号：US15657195

申请日：2017-07-23

申请人： AtScale, Inc.

发明人： Sarah Gerweck ,  DaREN DRUMMOND ,  Matthew BAIRD

IPC分类号： G06F17/30

摘要： Techniques are presented for rule-based selection of alternate data sources for multidimensional data statements. A virtual multidimensional data model is implemented to represent datasets that are accessed at various data sources. Derivative cubes generated from the virtual multidimensional data model are structured to have a respective data source metadata layer that is populated at data statement execution time to identify a target data source. Data source selection rules are established to map the attributes of data statements to target data sources. The data source selection rules are evaluated subject to data statement attributes derived from detected data statements to dynamically select target data sources for the data statements. The derivative cubes codify, in their respective data source metadata layers, a unique set of data source attributes identifying the target data sources. The derivative cubes are accessed to facilitate execution of the data statements on datasets at the target data sources.