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    AUTOMATED DATA ANALYSIS USING COMBINED QUERIES
    1.
    发明申请
    AUTOMATED DATA ANALYSIS USING COMBINED QUERIES 审中-公开

    公开(公告)号：US20190303367A1

    公开(公告)日：2019-10-03

    申请号：US16441921

    申请日：2019-06-14

    Applicant: Oracle International Corporation

    Inventor： Eric Hsiao ,  James Dang ,  Jeffrey Toillion ,  Rahul V. Herwadkar ,  Leon Zeng ,  Xiaochao Zhou

    IPC: G06F16/242 ,  G06F16/248 ,  G06F3/0482 ,  G06Q10/00 ,  G06Q10/06

    Abstract: A data analysis system is provided that enables users to perform complex data analyses based upon data that may be spread across multiple data sources. The data analysis system is configured to generate a combined query that is capable of extracting data from the multiple data sources. The user may provide analysis information describing the analysis the user desires to perform on the extracted data. In response, the data analysis system is further configured to automatically augment the combined query with program or code to implement the user-specified analysis. Execution of the augmented or modified combined query generates an analysis result set resulting from performing the user-specified analysis. The data analysis system provides a flexible and easy-to-use platform for a user, even a non-technical user, to perform complex data analyses using data stored in multiple different data sources.

    MANAGING SNAPSHOTS AND APPLICATION STATE IN MICRO-BATCH BASED EVENT PROCESSING SYSTEMS
    2.
    发明申请
    MANAGING SNAPSHOTS AND APPLICATION STATE IN MICRO-BATCH BASED EVENT PROCESSING SYSTEMS 审中-公开

    公开(公告)号：US20180075046A1

    公开(公告)日：2018-03-15

    申请号：US15706329

    申请日：2017-09-15

    Applicant: Oracle International Corporation

    Inventor： Hoyong Park ,  Sandeep Bishnoi ,  Prabhu Thukkaram ,  Santosh Kumar ,  Pavan Advani ,  Kunal Mulay ,  Jeffrey Toillion

    IPC: G06F17/30

    Abstract: An event processing system for processing events in an event stream is disclosed. The system can execute instructions to receive a micro-batch stream of input events, process the input events using the CQL engine to generate a set of output events, generate, using a snapshot management algorithm implemented by the CQL engine, a snapshot of a current state of a system based at least in part on the set of output events related to the application, generate a first directory structure to access snapshot information associated with the snapshot of the current state of the system, generate a second directory structure to generate a list of snapshots associated with the current state of the system, and determine based at least in part on the snapshot management algorithm, a process to get, add, or clean the list of snapshots associated with the current state of the system.

    TECHNIQUES FOR CONFIGURING WORKFLOW EVENT PROCESSING AND IDENTIFIER FEDERATION
    4.
    发明申请
    TECHNIQUES FOR CONFIGURING WORKFLOW EVENT PROCESSING AND IDENTIFIER FEDERATION 有权

    公开(公告)号：US20210110328A1

    公开(公告)日：2021-04-15

    申请号：US16896990

    申请日：2020-06-09

    Applicant: Oracle International Corporation

    Inventor： Eric Hsiao ,  Jeffrey Toillion ,  Amy Yang ,  Bingqing Shang ,  Dennis M. Chin ,  Robert Carina ,  Simone Geib ,  Santosh Kumar

    IPC: G06Q10/06 ,  G06F16/248 ,  G06F16/2455

    Abstract: Event processing techniques for updating a database in real time based on events in a continuous event stream are disclosed. The techniques can update the database to incorporate information from thousands of received events per second. The events can include metrics measuring milestones for an organizational process defined by a user. Moreover, multiple streams can include metrics from many tenants concurrently. The techniques include receiving, from a first user device, information identifying a group identifier for a first action object. The techniques then include assigning the identifier to the first action object and to at least one other action object. The techniques then include transmitting, to a service provider, data identifying the assignment of the group identifier, receiving second information identifying events processed by the service provider, identifying events corresponding to the identifier, and generating a user interface configured to present elements corresponding to the identified events.

    Automated data analysis using combined queries
    5.
    发明授权
    Automated data analysis using combined queries 有权

    公开(公告)号：US10394801B2

    公开(公告)日：2019-08-27

    申请号：US15334159

    申请日：2016-10-25

    Applicant: Oracle International Corporation

    Inventor： Eric Hsiao ,  James Dang ,  Jeffrey Toillion ,  Rahul V. Herwadkar ,  Leon Zeng ,  Xiaochao Zhou

    IPC: G06F17/00 ,  G06F16/242 ,  G06F3/0482 ,  G06F16/248 ,  G06Q10/00 ,  G06Q10/06

    Abstract: A data analysis system is provided that enables users to perform complex data analyses based upon data that may be spread across multiple data sources. The data analysis system is configured to generate a combined query that is capable of extracting data from the multiple data sources. The user may provide analysis information describing the analysis the user desires to perform on the extracted data. In response, the data analysis system is further configured to automatically augment the combined query with program or code to implement the user-specified analysis. Execution of the augmented or modified combined query generates an analysis result set resulting from performing the user-specified analysis. The data analysis system provides a flexible and easy-to-use platform for a user, even a non-technical user, to perform complex data analyses using data stored in multiple different data sources.

    TECHNIQUES FOR IN-MEMORY STITCHING
    8.
    发明申请
    TECHNIQUES FOR IN-MEMORY STITCHING 有权

    公开(公告)号：US20210109935A1

    公开(公告)日：2021-04-15

    申请号：US16896891

    申请日：2020-06-09

    Applicant: Oracle International Corporation

    Inventor： Eric Hsiao ,  Jeffrey Toillion ,  Amy Yang ,  Bingqing Shang ,  Dennis M. Chin ,  Robert Carina ,  Simone Geib ,  Santosh Kumar

    IPC: G06F16/2455 ,  G06F16/23 ,  G06F16/16 ,  G06F16/17 ,  G06F21/16 ,  G06F9/54

    Abstract: Event processing techniques for updating a database in real time based on events in a continuous event stream are disclosed. The techniques can update the database to incorporate information from thousands of received events per second. The events can include metrics measuring milestones for an organizational process defined by a user. Moreover, multiple streams can include metrics from many tenants concurrently. The techniques include receiving a plurality of events corresponding to a time interval and identifying that two events share a value of a key attribute. The techniques then include causing to be generated an in-memory combined database record comprising a combination of first and second attribute information from the two events and the value of the key attribute. In response to a trigger signal, the techniques include transmitting a single message, based at least in part on the combined database record, to update the database.

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