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US Patent 11294869 Expressing complexity of migration to a database candidate

Patent 11294869 was granted and assigned to Datometry on April, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
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Datometry
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Current Assignee
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Datometry
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
112948690
Patent Inventor Names
Mark Morcos0
Michele Gage0
Amirhossein Aleyasen0
Dmitri Korablev0
Florian Michael Waas0
Date of Patent
April 5, 2022
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Patent Application Number
165990610
Date Filed
October 10, 2019
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Patent Citations
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US Patent 10783124 Data migration in a networked computer environment
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US Patent 10120920 Increasing storage space for processes impacting data storage systems
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US Patent 10162729 Automatic review of SQL statement complexity
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US Patent 10241960 Historical data replay utilizing a computer system
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US Patent 10255336 Method and system for transparent interoperability between applications and data management systems
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US Patent 10261956 Pixel-aware query rewriting
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US Patent 10445334 Query transmission in type-limited interchange formats
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US Patent 10585887 Multi-system query execution plan
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Patent Citations Received
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US Patent 11625414 Method and system for transparent interoperability between applications and data management systems
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US Patent 11468043 Batching database queries for migration to a different database
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US Patent 11620291 Quantifying complexity of a database application
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US Patent 11588883 Method and system for workload management for data management systems
Patent Primary Examiner
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James E Richardson
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CPC Code
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G06F 16/215
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G06F 16/2272
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G06F 16/2453
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G06F 16/214
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G06F 16/245
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G06F 16/1734
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G06F 16/2445
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Some embodiments provide a method for expressing viability of a first database as a candidate for replacing a second database. The method identifies a first group of database queries that a group of applications directed towards the second database. The method produces a second group of queries by removing, from the first group, queries that are duplicates. Based on a set of complexity values associated with a set of components of the second group of queries, the method generates a complexity indicator representing a level of difficulty for rewriting the second group of queries for the second database.

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