Location History:
- Sunnyvale, CA (US) (2022 - 2023)
- Saratoga, CA (US) (2023)
Company Filing History:
Years Active: 2022-2023
Title: Asha Andrade: Innovator in Data Query Systems
Introduction
Asha Andrade is a prominent inventor based in Sunnyvale, CA. She has made significant contributions to the field of data intake and query systems. With a total of 5 patents to her name, Asha has established herself as a key player in technological innovation.
Latest Patents
Asha's latest patents include groundbreaking methods for enhancing data processing efficiency. One of her notable inventions is titled "Parallel branch operation using intermediary nodes." This patent describes a method where a data intake and query system receives a search query that includes a branching operation between sets of data. The system generates subqueries for execution by a search node and combines partial results through an intermediary node. This innovative approach allows for more efficient query execution and improved data handling.
Another significant patent is "Determining records generated by a processing task of a query." This invention outlines systems and methods for determining the quantity of records produced by a processing task of a query. The system identifies the processing task and estimates the number of records generated, which aids in resource allocation and query execution time determination.
Career Highlights
Asha Andrade is currently employed at Splunk Inc., a leading company in data analytics and software solutions. Her work at Splunk has allowed her to apply her innovative ideas in real-world applications, contributing to the company's success in the industry.
Collaborations
Asha collaborates with talented individuals such as Sourav Pal and Arindam Bhattacharjee. These partnerships enhance her work and foster a creative environment for innovation.
Conclusion
Asha Andrade is a remarkable inventor whose contributions to data query systems are shaping the future of technology. Her patents reflect her commitment to innovation and efficiency in data processing.