公开(公告)号：US20170147643A1

公开(公告)日：2017-05-25

申请号：US14946549

申请日：2015-11-19

Applicant: Business Objects Software Limited

Inventor： Huma Zaidi ,  Marjolein Visser ,  Madison Poon

IPC: G06F17/30

CPC classification number: G06F17/30466 ,  G06F17/30398

Abstract: Embodiments effect the combination of data from different tables (e.g., of an underlying database), and the visualization of that combined table data in an incremental manner. Columns from a second table may be selectively combined with those of a first table, manually by user selection and/or automatically by best guess matching. Such matching may be based upon commonalities between table column headers. A menu may allow user selection of specific table(s)/table column(s) to be combined with a first table, as well as a manner of that combination (e.g., particular types of SQL join operations). The table data combination process is visualized step-by-step (e.g., allowing toggling and forward/backward navigation between interface screens), ensuring the user is able to follow data migration in the combined workflow, and appreciate/recognize changing values resulting therefrom. Particular embodiments may leverage the processing power of an in-memory database engine to accomplish combination and/or visualization of table data.

公开(公告)号：US10083206B2

公开(公告)日：2018-09-25

申请号：US14946549

申请日：2015-11-19

Applicant: Business Objects Software Limited

Inventor： Huma Zaidi ,  Marjolein Visser ,  Madison Poon

IPC: G06F17/30

CPC classification number: G06F16/24544 ,  G06F16/2428

Abstract: Embodiments effect the combination of data from different tables (e.g., of an underlying database), and the visualization of that combined table data in an incremental manner. Columns from a second table may be selectively combined with those of a first table, manually by user selection and/or automatically by best guess matching. Such matching may be based upon commonalities between table column headers. A menu may allow user selection of specific table(s)/table column(s) to be combined with a first table, as well as a manner of that combination (e.g., particular types of SQL join operations). The table data combination process is visualized step-by-step (e.g., allowing toggling and forward/backward navigation between interface screens), ensuring the user is able to follow data migration in the combined workflow, and appreciate/recognize changing values resulting therefrom. Particular embodiments may leverage the processing power of an in-memory database engine to accomplish combination and/or visualization of table data.