Givatayim, Israel

Ofer Lahav


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Ofer Lahav: Innovator in Data Profiling Technology

Introduction

Ofer Lahav is a notable inventor based in Givatayim, Israel. He has made significant contributions to the field of data profiling, particularly through his innovative patent. His work focuses on enhancing the understanding and management of non-structured data, which is increasingly important in today's data-driven world.

Latest Patents

Ofer Lahav holds a patent titled "Method, apparatus, and computer-readable medium for non-structured data profiling." This patent describes a system and method for generating a profile of one or more data objects. The process involves determining the format of the data object, selecting a data transformation policy based on that format, and generating a model that describes the non-structured data contained within the object. This innovative approach allows for the effective profiling of non-structured data, which is crucial for various applications in data analysis and management. He has 1 patent to his name.

Career Highlights

Ofer Lahav is associated with Informatica Corporation, a leading company in the field of data integration and management. His role at Informatica has allowed him to work on cutting-edge technologies that address the challenges of data profiling and transformation. His expertise in this area has positioned him as a valuable asset to the company and the industry.

Collaborations

Ofer has collaborated with talented individuals such as Gadi Wolfman and Uri Vax. These collaborations have contributed to the development of innovative solutions in data management and profiling.

Conclusion

Ofer Lahav's contributions to the field of data profiling through his patent and work at Informatica Corporation highlight his role as an innovator in technology. His efforts in understanding non-structured data are paving the way for advancements in data management practices.

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