发明名称 TRANSFORMING TIMESERIES AND NON-RELATIONAL DATA TO RELATIONAL FOR COMPLEX AND ANALYTICAL QUERY PROCESSING
摘要 A system for transforming time series data into data that is accessible by a data warehouse identifies a data table comprising the time series data. The system creates a virtual view of the data table where the time series data is represented as at least one standard relational table in the virtual view, where the virtual view is presented as a virtual table. The system partitions the virtual table into a plurality of virtual partitions according to a time interval. The virtual table is partitioned across a data time range, where the data time range comprises at least one time interval, and where each of the plurality of virtual partitions has a respective partition time range that spans the time interval. The virtual partitions are created to optimize loading of the data into the data warehouse by incrementally refreshing the data according to the respective partition time range.
申请公布号 US2017075968(A1) 申请公布日期 2017.03.16
申请号 US201615363005 申请日期 2016.11.29
申请人 International Business Machines Corporation 发明人 BROWN Kevin;HO Frederick C.;Murthy Raghupathi K.;OSTNER Karl
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A method for transforming time series data into data that is accessible by a data warehouse, implemented by a computing processor, the method comprising: identifying, by the computing processor, a data table comprising the time series data; creating, by the computing processor, a virtual view of the data table wherein the time series data is represented as at least one standard relational table in the virtual view, the virtual view presented as a virtual table; and partitioning, by the computing processor, the virtual table into a plurality of virtual partitions according to a time interval, the virtual table partitioned across a data time range, wherein the data time range comprises at least one time interval, wherein each of the plurality of virtual partitions has a respective partition time range that spans the time interval, the virtual partitions created to optimize loading of the data into the data warehouse by incrementally refreshing the data according to the respective partition time range.
地址 Armonk NY US