Vienna, Austria

Daniele Bonetta


Average Co-Inventor Count = 2.3

ph-index = 2

Forward Citations = 5(Granted Patents)


Location History:

  • Vienna, AT (2017 - 2019)
  • Linz, AT (2019)

Company Filing History:


Years Active: 2017-2019

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3 patents (USPTO):Explore Patents

Title: Daniele Bonetta: Innovator in Data Access Technologies

Introduction

Daniele Bonetta is a prominent inventor based in Vienna, Austria. She has made significant contributions to the field of data access technologies, holding a total of 3 patents. Her work focuses on improving the efficiency and effectiveness of data processing through innovative techniques.

Latest Patents

One of Daniele's latest patents involves evaluation techniques for fast access to structured, semi-structured, and unstructured data using a virtual machine that supports dynamic code generation. This invention allows for the efficient encoding of data objects into hierarchically marked up data. The virtual machine is designed to dynamically create attributes of objects referenced by a body of code, enabling efficient encoding and decoding of data. Another notable patent focuses on creating efficient and thread-safe objects for dynamically-typed languages. This method includes allocating storage for each object based on a shape assigned to it, ensuring that shared objects are tracked and managed effectively.

Career Highlights

Daniele works at Oracle International Corporation, where she continues to develop innovative solutions in data processing. Her expertise in computer-implemented techniques has positioned her as a key player in her field.

Collaborations

Daniele collaborates with notable colleagues, including Benoit Daloze and Stefan Marr. Their combined efforts contribute to advancing the technologies that enhance data access and processing.

Conclusion

Daniele Bonetta's contributions to data access technologies through her patents and work at Oracle International Corporation highlight her role as an influential inventor in the tech industry. Her innovative approaches continue to shape the future of data processing.

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