公开(公告)号：US12066917B2

公开(公告)日：2024-08-20

申请号：US18318113

申请日：2023-05-16

Applicant: Snowflake Inc.

Inventor： Christian Kleinerman ,  Christopher F. Pouliot ,  Jacobus J. P. Van Ryswyck

IPC: G06F11/34 ,  G06F11/30

CPC classification number: G06F11/3419 ,  G06F11/3006 ,  G06F11/3075 ,  G06F11/3466

Abstract: Techniques described herein can monitor various data metrics. The auto-insight techniques can further detect and rank data segments that contributed to, or counteracted, shifts in data and detect when such shifts occurred. Thus, the techniques described herein can detect and identify root causes in shifts in different metrics. The techniques include pruning and ranking causes to identify the root causes and identify non-relevant factors, as well.

公开(公告)号：US11321212B1

公开(公告)日：2022-05-03

申请号：US17408284

申请日：2021-08-20

Applicant: Snowflake Inc.

Inventor： Christian Kleinerman ,  Christopher F. Pouliot ,  Jacobus J. P. Van Ryswyck

IPC: G06F11/34 ,  G06F11/30

Abstract: Techniques described herein can monitor various data metrics. The auto-insight techniques can further detect and rank data segments that contributed to, or counteracted, shifts in data and detect when such shifts occurred. Thus, the techniques described herein can detect and identify root causes in shifts in different metrics. The techniques include pruning and ranking causes to identify the root causes and identify non-relevant factors, as well.

公开(公告)号：US20230281101A1

公开(公告)日：2023-09-07

申请号：US18318113

申请日：2023-05-16

Applicant: Snowflake Inc.

Inventor： Christian Kleinerman ,  Christopher F. Pouliot ,  Jacobus J. P. Van Ryswyck

IPC: G06F11/34 ,  G06F11/30

CPC classification number: G06F11/3419 ,  G06F11/3075 ,  G06F11/3006 ,  G06F11/3466

Abstract: Techniques described herein can monitor various data metrics. The auto-insight techniques can further detect and rank data segments that contributed to, or counteracted, shifts in data and detect when such shifts occurred. Thus, the techniques described herein can detect and identify root causes in shifts in different metrics. The techniques include pruning and ranking causes to identify the root causes and identify non-relevant factors, as well.

公开(公告)号：US11687436B2

公开(公告)日：2023-06-27

申请号：US17656581

申请日：2022-03-25

Applicant: Snowflake Inc.

Inventor： Christian Kleinerman ,  Christopher F. Pouliot ,  Jacobus J. P. Van Ryswyck

IPC: G06F11/34 ,  G06F11/30

CPC classification number: G06F11/3419 ,  G06F11/3006 ,  G06F11/3075 ,  G06F11/3466

Abstract: Techniques described herein can monitor various data metrics. The auto-insight techniques can further detect and rank data segments that contributed to, or counteracted, shifts in data and detect when such shifts occurred. Thus, the techniques described herein can detect and identify root causes in shifts in different metrics. The techniques include pruning and ranking causes to identify the root causes and identify non-relevant factors, as well.

公开(公告)号：US20230059980A1

公开(公告)日：2023-02-23

申请号：US17656581

申请日：2022-03-25

Applicant: Snowflake Inc.

Inventor： Christian Kleinerman ,  Christopher F. Pouliot ,  Jacobus J.P. Van Ryswyck

IPC: G06F11/34 ,  G06F11/30

Abstract: Techniques described herein can monitor various data metrics. The auto-insight techniques can further detect and rank data segments that contributed to, or counteracted, shifts in data and detect when such shifts occurred. Thus, the techniques described herein can detect and identify root causes in shifts in different metrics. The techniques include pruning and ranking causes to identify the root causes and identify non-relevant factors, as well.