The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 05, 2025
Filed:
Jun. 30, 2021
Amazon Technologies, Inc., Seattle, WA (US);
Karthik Ravindra Rao, Sunnyvale, CA (US);
Raghu Chaitanya Puligilla, Hyderabad, IN;
Enrico Sartorello, Berlin, DE;
Michal Marshall, Seattle, WA (US);
Ameer Nizarsami Ayoub, Seattle, WA (US);
Kalpesh N Sutaria, Redmond, WA (US);
Paul Matthew Kohan, Seattle, WA (US);
Vivek Bhadauria, Redmond, WA (US);
Rama Krishna Sandeep Pokkunuri, Redmond, WA (US);
Hammad Latif Mirza, Seattle, WA (US);
Kshitiz Mohan Agarwal, Kirkland, WA (US);
Yong Yuan, Mercer Island, WA (US);
Amazon Technologies, Inc., Seattle, WA (US);
Abstract
A data set management of a provider network may allow a user to create new data set instances. When a data set instance is created, data set lineage metadata is also generated to describe the new data set instance, including the transformation that was applied to data in order to create the data set instance. When modifications are made to source data (e.g., a data bucket), then the modifications are propagated via transformations to the parent data set instance and to any child data set instances according to the data set lineage metadata in order to update the data set instances. When modifications are made to a parent data set instance to create an updated parent data set instance, then the modifications are propagated via transformations to any child data set instances according to the data set lineage metadata. Transformations and transformation patterns may also be defined and scheduled.