Amazon Technologies, Inc.

Salesforce, Inc.

Pearson Education, Inc.

Dibyendu Bhattacharya

Kadir Ozdemir

Ravi Kumar

Sayantan Marik

Mathieu Spegagne

Kishore Reddipalli

Manisha Mehrotra

Hongjun Fu

A database system is disclosed. The database system may receive a plurality of records representing changes made to a plurality of datasets, and the plurality of records may include a plurality of data change instances associated with a plurality of data schema types. The plurality of data change instances may correspond to a plurality of respective keys. The database system may compute an average size of data for each data schema type of the plurality of data schema types. The database system may modify the plurality of respective keys through a salting process, which may include assigning non-overlapping numerical ranges to subsets of the plurality of respective keys. The database system may sort, using the non-overlapping numerical ranges, the plurality of data change instances into a plurality of partitions of a target file size. The database system may write files of the target file size to a data store.

Size-based record partitioning

An input image of an object is prepared for presentation by removing extraneous portions such as text, logos, advertising, watermarks, and so forth. The input image is processed to determined contours of features depicted in the input image. A bounding box corresponding to each contour may be determined. Based at least in part on the areas of these bounding boxes, an image mask is created. A candidate image is determined by applying the image mask to the input image to set pixels within portions of the input image to a predetermined value, such as white. Many candidate images may be generated using different parameters, such as different thresholds for relative sizes of the areas of the bounding boxes. These candidate images may be assessed, and a candidate image is selected for later use. Instead of manual editing of the input images, the candidate images are automatically generated.

System to prepare images for presentation

Systems and methods for verifying end-to-end data consistency are disclosed herein. The system can include a source hub that can: generate a first message from data received from a user; and generate an initial message identifier. The system can include an intermediate hub that can: receive the first message from the source hub via the communication network; receive the initial message identifier from the source hub via the communication network; transmit an output message; and generate an output message identifier. The system can include a terminal hub that can: receive the output message; receive the output message identifier; calculate a result value from the received output message and the received output message identifier; and provide an alert to a user device when a data loss is identified based on the result value.

End to end data signal consistency evaluation

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Bengaluru, India

Dibyendu Bhattacharya