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Years Active: 2019-2024
Title: Rachit Arora: Innovator in Big Data Technologies
Introduction
Rachit Arora is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of big data technologies, holding a total of 8 patents. His innovative work focuses on optimizing query runs on cloud platforms and enhancing cluster creation processes.
Latest Patents
One of Rachit Arora's latest patents is titled "Auto recognition of big data computation engine for optimized query runs on cloud platforms." This method involves receiving a request for a big data query that includes specific characteristics and user parameters. It accesses a set of rules based on the properties of various big data query engines. The method determines a candidate list of query engines and uses a machine learning model to generate probability scores for each engine. It also includes mechanisms for identifying performance issues and switching to alternative engines as needed.
Another notable patent is "Cluster creation using self-aware, self-joining cluster nodes." This invention describes a process where each node in a cluster is assigned a role of master or non-master. The master node initializes the cluster, while non-master nodes wait for the master to become operational before joining. This approach enhances scalability, fault tolerance, and availability within the cluster.
Career Highlights
Rachit Arora has worked with leading technology companies, including IBM and Oracle International Corporation. His experience in these organizations has allowed him to develop and refine his innovative ideas in big data technologies.
Collaborations
Rachit has collaborated with notable professionals in the field, including Dharmesh Jain and Shrinivas Kulkarni. These collaborations have contributed to the advancement of his projects and patents.
Conclusion
Rachit Arora is a distinguished inventor whose work in big data technologies has led to multiple patents and innovative solutions. His contributions continue to shape the future of data processing and cloud computing.