Sunnyvale, CA, United States of America

Murugan Kandaswamy


Average Co-Inventor Count = 4.6

ph-index = 4

Forward Citations = 143(Granted Patents)


Company Filing History:


Years Active: 2020-2023

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: Murugan Kandaswamy: Innovator in Log Data Metrics

Introduction

Murugan Kandaswamy is a prominent inventor based in Sunnyvale, CA, known for his innovative contributions in the field of log data analysis and metrics generation. With a total of six patents to his name, Kandaswamy has made significant advancements in how machine data can be transformed into actionable insights.

Latest Patents

Among his latest notable patents is the "Automated generation of metrics from log data." This invention describes a log-to-metrics transformation system that includes an application executing on a processor. The system processes machine data and generates mappings between metric identifiers and field values, ultimately extracting relevant metrics from the data. Another significant patent is "Generating structured metrics from log data," which involves a data intake and query system that retrieves and structures metrics based on user-defined criteria and the scope of log data.

Career Highlights

Kandaswamy is currently employed at Splunk Inc., a company renowned for its software that enables organizations to search, monitor, and analyze machine-generated big data. His work at Splunk has been instrumental in streamlining metric generation processes, enhancing the ability to derive insights from complex log data.

Collaborations

Throughout his career, Kandaswamy has collaborated with notable colleagues, including Vishal Patel and Amrittpal Singh Bath. These partnerships have contributed to the innovative solutions developed within his projects at Splunk.

Conclusion

Murugan Kandaswamy's work in the realm of log data metrics showcases the impact of advanced technologies on data analytics. His contributions not only enhance the efficiency of data processing but also pave the way for future innovations in machine learning and data analysis techniques.

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