Waterloo, Canada

Noah Slavitch


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):

Title: Innovations by Noah Slavitch

Introduction

Noah Slavitch is an accomplished inventor based in Waterloo, Canada. He has made significant contributions to the field of data management and query responsiveness. With a total of 3 patents to his name, Slavitch continues to push the boundaries of technology.

Latest Patents

One of his latest patents is titled "Workload-aware column imprints." This patent describes techniques and solutions that can be used to determine data subsets of a data set that may be responsive to a query. In one aspect, imprints are created for the data subsets, where an imprint indicates whether, for a plurality of bins, a data subset contains values within respective bins. The bins are defined at least in part using data for a set of queries. In another aspect, at least one bin of a plurality of bins is designated to be associated with values of the data set satisfying a threshold frequency. In a further aspect, imprints are created for a plurality of bins, where an imprint indicates whether the plurality of data subsets comprise a value for a given bin. A query imprint can be compared with the data subset imprints or bin imprints to determine data subsets that may be responsive to an associated query.

Career Highlights

Noah Slavitch is currently employed at SAP SE, a leading software company known for its enterprise resource planning solutions. His work at SAP SE focuses on enhancing data management techniques and improving query responsiveness.

Collaborations

Noah collaborates with Reza Sherkat, a talented woman in the field, contributing to innovative projects and advancements in data technology.

Conclusion

Noah Slavitch's contributions to data management through his patents and work at SAP SE highlight his role as a significant innovator in the technology sector. His ongoing efforts continue to shape the future of data responsiveness and management.

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