公开(公告)号：US20170039227A1

公开(公告)日：2017-02-09

申请号：US14818992

申请日：2015-08-05

Applicant: SAP SE

Inventor： Axel Herbst ,  Veit Bolik ,  Mathias Roeher

IPC: G06F17/30

CPC classification number: G06F17/30309 ,  G06F17/30336 ,  G06F17/30569

Abstract: Embodiments relate to data archiving utilizing an existing big data platform (e.g., HADOOP) as a cost-effective target infrastructure for storage. Particular embodiments construct a logical structure (hereafter, “vault”) in the big data platform so that a source, type, and context of the data is maintained, and metadata can be added to aid searching for snapshots according to a given time, version, and other considerations. A vaulting process transforms relationally stored data in an object view to allow for object-based retrieval or object-wise operations (such as destruction due to legal data privacy reasons), and provide references to also store unstructured data (e.g., sensor data, documents, streams) as attachments. A legacy archive extractor provides extraction services for existing archives, so that extracted information is stored in the same vault. This allows for cross queries over legacy data and data from other sources, facilitating the application of new analysis techniques by data scientists.

Abstract translation: 实施例涉及利用现有的大数据平台（例如，HADOOP）作为用于存储的成本有效的目标基础设施的数据存档。 特定实施例在大数据平台中构建逻辑结构（以下称为“保险库”），从而维护数据的源，类型和上下文，并且可以添加元数据以帮助根据给定时间版本搜索快照 ，和其他考虑。 存储过程将对象视图中的关系存储数据转换为允许基于对象的检索或对象操作（例如由于合法的数据隐私原因而被破坏），并提供对存储非结构化数据的引用（例如，传感器数据，文档 ，流）作为附件。 遗留归档提取器为现有存档提供提取服务，从而将提取的信息存储在同一个文件库中。 这允许对遗留数据和来自其他来源的数据进行交叉查询，从而有助于数据科学家应用新的分析技术。

公开(公告)号：US20170140021A1

公开(公告)日：2017-05-18

申请号：US14981340

申请日：2015-12-28

Applicant: SAP SE

Inventor： Ajalesh P. Gopi ,  Veit Bolik ,  Santosh Vijayan ,  Naveen Kolli

IPC: G06F17/30

Abstract: Examples of partitioning a group of related database tables are provided herein. A database table in a group of related database tables can be designated as a lead database table. A partitioning field can also be determined by which database tables in the group are partitioned. A data load, with respect to the partitioning field, of the lead database table can be calculated. The data load can include a data distribution across different values of the partitioning field. A group partitioning scheme can be determined based on the data load of the lead database table. The database tables of the group can then be partitioned according to the group partitioning scheme.

公开(公告)号：US10552454B2

公开(公告)日：2020-02-04

申请号：US14981340

申请日：2015-12-28

Applicant: SAP SE

Inventor： Ajalesh P. Gopi ,  Veit Bolik ,  Santosh Vijayan ,  Naveen Kolli

IPC: G06F16/27

Abstract: Examples of partitioning a group of related database tables are provided herein. A database table in a group of related database tables can be designated as a lead database table. A partitioning field can also be determined by which database tables in the group are partitioned. A data load, with respect to the partitioning field, of the lead database table can be calculated. The data load can include a data distribution across different values of the partitioning field. A group partitioning scheme can be determined based on the data load of the lead database table. The database tables of the group can then be partitioned according to the group partitioning scheme.

公开(公告)号：US10095717B2

公开(公告)日：2018-10-09

申请号：US14818992

申请日：2015-08-05

Applicant: SAP SE

Inventor： Axel Herbst ,  Veit Bolik ,  Mathias Roeher

IPC: G06F17/30

Abstract: Embodiments relate to data archiving utilizing an existing big data platform (e.g., HADOOP) as a cost-effective target infrastructure for storage. Particular embodiments construct a logical structure (hereafter, “vault”) in the big data platform so that a source, type, and context of the data is maintained, and metadata can be added to aid searching for snapshots according to a given time, version, and other considerations. A vaulting process transforms relationally stored data in an object view to allow for object-based retrieval or object-wise operations (such as destruction due to legal data privacy reasons), and provide references to also store unstructured data (e.g., sensor data, documents, streams) as attachments. A legacy archive extractor provides extraction services for existing archives, so that extracted information is stored in the same vault. This allows for cross queries over legacy data and data from other sources, facilitating the application of new analysis techniques by data scientists.

公开(公告)号：US20190243665A1

公开(公告)日：2019-08-08

申请号：US15891710

申请日：2018-02-08

Applicant: SAP SE

Inventor： Veit Bolik ,  Marcus Biemueller

IPC: G06F9/445 ,  G06F8/60 ,  G06F8/70

CPC classification number: G06F9/44505 ,  G06F8/60 ,  G06F8/70 ,  G06F2209/482

Abstract: Functionality configuration for applications is provided by a configuration service. An application may register with a configuration service for functionality configuration. A configuration model may be created for the application and deployed to the application for use in configuring the functionality and behavior of the application. The configuration model may be stored by the configuration service and maintained at the configuration service. The configuration model may be provided to multiple additional applications, or customized and provided to additional applications. Use of a single or related configuration models may standardize functionality and maintenance across related applications.