公开(公告)号：US10726011B2

公开(公告)日：2020-07-28

申请号：US15290507

申请日：2016-10-11

Applicant: SAP SE

Inventor： Christian Conradi ,  Marcel Hermanns ,  Stefan Engelhardt ,  Vera Thome-Fix ,  Maximilian Eisele ,  Gregor Tielsch

IPC: G06F16/2453 ,  G06F16/84 ,  G06F16/22 ,  G06F16/25

Abstract: A system includes reception of a first query to search two or more heterogeneous data providers, generation of a first query language excerpt to define a combined key column based on key columns associated with a first data provider of the two or more heterogeneous data providers, for each of two or more columns of the first data provider, generation of a second query language excerpt to map the column of the first data provider to a respective result set key column and a respective result set value column, generation of a third query language excerpt to identify two or more of the result set value columns to search, and generation of a first query language statement based on the first, second and third query language excerpts.

公开(公告)号：US09930113B2

公开(公告)日：2018-03-27

申请号：US14470964

申请日：2014-08-28

Applicant: SAP SE

Inventor： Igor Schukovets ,  Gregor Tielsch ,  Christian Conradi ,  Stephan Guentert ,  Bernd Kauerauf ,  Nils Hartmann ,  Marcel Hermanns

IPC: H04L29/08 ,  G06F17/30

CPC classification number: H04L67/1097 ,  G06F17/3056

Abstract: A method includes supplementing a database with multiple database views respectively representing a data model and including a first column representing a first attribute of the data model and a second column representing a second attribute of the data model; identifying a database view capable of retrieving requested data; retrieving instances of the data model represented by the identified view via the network using a first select criterion directed at the first column and a second select criterion directed at the second column of said view, the second attribute values of the data model instances being calculated selectively for instances having been dynamically identified by the first select criterion; and returning a result via the network.

公开(公告)号：US11416507B2

公开(公告)日：2022-08-16

申请号：US17080350

申请日：2020-10-26

Applicant: SAP SE

Inventor： Christian Conradi ,  Seshatalpasai Madala

IPC: G06F16/2458 ,  G06F16/248

Abstract: Techniques for processing combinations of timeseries data and time-dependent semantic data are provided. The timeseries data can be data from one or more Internet of things (IOT) devices having one or more hardware sensors. The semantic data can be master data. Disclosed techniques allow for time dependent semantic data to be used with the timeseries data, so that semantic data appropriate for a time period associated with the timeseries data can be used. Changes to semantic data are tracked and recorded, where the changes can represent a new value to be used going forward in time or an update to a value for a prior time period. Timeseries data and semantic data can be stored with identifiers that facilitate their combination, such as date ranges, identifiers of analog world objects, or identifiers for discrete sets of semantic data values.

公开(公告)号：US20230401191A1

公开(公告)日：2023-12-14

申请号：US17836848

申请日：2022-06-09

Applicant: SAP SE

Inventor： Christian Conradi ,  Jens Abraham

IPC: G06F16/22 ,  G06F16/242 ,  G06F16/21

CPC classification number: G06F16/2282 ,  G06F16/2423 ,  G06F16/213

Abstract: A computer implemented method can receive a write request to store sensor data generated by a sensor group including a plurality of sensors. The sensor data includes at least a structure identifier and one or more pairs of sensor parameters and sensor values. The method can identify a metadata structure based on the structure identifier. The metadata structure includes a plurality of tuples corresponding to the plurality of sensors in the sensor group. The tuples define pairs of field names and data types of the corresponding sensors. The method can pack the one or more pairs of sensor parameters and sensor values into one or more data containers, and store the one or more data containers respectively into one or more columns of a sensor data table.

公开(公告)号：US20220129456A1

公开(公告)日：2022-04-28

申请号：US17080350

申请日：2020-10-26

Applicant: SAP SE

Inventor： Christian Conradi ,  Seshatalpasai Madala

IPC: G06F16/2458 ,  G06F16/248

Abstract: Techniques for processing combinations of timeseries data and time-dependent semantic data are provided. The timeseries data can be data from one or more Internet of things (IOT) devices having one or more hardware sensors. The semantic data can be master data. Disclosed techniques allow for time dependent semantic data to be used with the timeseries data, so that semantic data appropriate for a time period associated with the timeseries data can be used. Changes to semantic data are tracked and recorded, where the changes can represent a new value to be used going forward in time or an update to a value for a prior time period. Timeseries data and semantic data can be stored with identifiers that facilitate their combination, such as date ranges, identifiers of analog world objects, or identifiers for discrete sets of semantic data values.

公开(公告)号：US20180101572A1

公开(公告)日：2018-04-12

申请号：US15290507

申请日：2016-10-11

Applicant: SAP SE

Inventor： Christian Conradi ,  Marcel Hermanns ,  Stefan Engelhardt ,  Vera Thome-Fix ,  Maximilian Eisele ,  Gregor Tielsch

IPC: G06F17/30

CPC classification number: G06F16/24544 ,  G06F16/221 ,  G06F16/2228 ,  G06F16/25 ,  G06F16/84

Abstract: A system includes reception of a first query to search two or more heterogeneous data providers, generation of a first query language excerpt to define a combined key column based on key columns associated with a first data provider of the two or more heterogeneous data providers, for each of two or more columns of the first data provider, generation of a second query language excerpt to map the column of the first data provider to a respective result set key column and a respective result set value column, generation of a third query language excerpt to identify two or more of the result set value columns to search, and generation of a first query language statement based on the first, second and third query language excerpts.