Invention Grant
- Patent Title: Automated data translation
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Application No.: US16854333Application Date: 2020-04-21
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Publication No.: US11237752B2Publication Date: 2022-02-01
- Inventor: Dirk Alexander Seelemann, II , Michael Jory
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Garg Law Firm, PLLC
- Agent Rakesh Garg; William Hartwell
- Main IPC: G06F12/00
- IPC: G06F12/00 ; G06F3/06 ; H04L29/08 ; G06Q30/04 ; G06Q10/10 ; G06F16/27 ; G06F13/00 ; G06F13/28

Abstract:
An embodiment includes locating source data associated with a data replication request, and identifying a property of a data value of the source data using a reflection process. The embodiment determines a meta-type for the data value using an automaton that identifies a matching extent class from among an indexed set of extent classes that define respective accessors that are invoked to locate an extent class that corresponds with the property of the data value. The embodiment generates target data having the data value and a data type that corresponds with the matching extent class. The embodiment generates a changes feed that includes the generated target data, evaluates data in the changes feed to determine whether a specified condition has been satisfied and, if so, generates a trigger signal that initiates an event, where the trigger signal comprising information that satisfied the specified condition.
Public/Granted literature
- US20210326045A1 AUTOMATED DATA TRANSLATION Public/Granted day:2021-10-21
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