Amogh Margoor

Title: Amogh Margoor: Innovator in Big Data Workload Optimization

Introduction

Amogh Margoor is a notable inventor based in Sunnyvale, CA (US). He has made significant contributions to the field of big data management, particularly in optimizing workloads on cloud platforms. His innovative approach has led to the development of a patented system that enhances the efficiency of data processing in cloud environments.

Latest Patents

Amogh Margoor holds a patent for a system and methods for auto-tuning big data workloads on cloud platforms. The invention is generally directed to systems and methods of automatically tuning big data workloads across various cloud platforms. The system is in communication with a cloud platform and a user, with the cloud platform including data storage and a data engine. The system may include a system information module in communication with the cloud platform, a static tuner in communication with the system information module, a cloud tuner in communication with the static tuner and the user, and an automation module in communication with the cloud tuner. Methods may include extracting information impacting or associated with the performance of the big data workload from the cloud platform, determining recommendations based at least in part on the information extracted, iterating through different hardware configurations to determine optimal hardware and data engine configuration, and applying the determined configuration to the data engine. He has 1 patent to his name.

Career Highlights

Amogh Margoor is currently employed at Qubole, Inc., where he continues to work on innovative solutions for big data challenges. His expertise in cloud technologies and data management has positioned him as a valuable asset in the tech industry.

Collaborations

One of his notable coworkers is Rajat Venkatesh, with whom he collaborates on various projects related to big data and cloud computing.

Conclusion

Amogh Margoor's contributions to the field of big data workload optimization demonstrate his commitment to innovation and excellence. His patented system showcases the potential for improving cloud platform efficiency, making significant strides in the tech industry.