Shaddy Garg

Title: Shaddy Garg: Innovator in Query Processing

Introduction

Shaddy Garg is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of data processing, particularly in the area of query processing for join queries. His innovative approach has the potential to enhance the efficiency of data retrieval from multiple datasets.

Latest Patents

Shaddy Garg holds a patent for "Approximate query processing for join queries." This invention focuses on retrieving information derived from a plurality of separately stored datasets. The patent outlines a method for identifying join structures within these datasets, which can include datasets joined by a central dataset, by a single key, or across multiple keys. When a join query is received, the system selects a join structure and identifies a corresponding query processing schema. This schema defines a sampling technique that allows for efficient data retrieval, ultimately reconstructing the join query to derive the requested information.

Career Highlights

Shaddy Garg is currently employed at Adobe Inc., where he continues to work on innovative solutions in data processing. His expertise in query processing has positioned him as a valuable asset in the tech industry.

Collaborations

Some of his notable coworkers include Vibhor Porwal and Yeuk-Yin Chan, who contribute to the collaborative environment at Adobe Inc.

Conclusion

Shaddy Garg's contributions to query processing exemplify the impact of innovative thinking in technology. His patent reflects a significant advancement in data retrieval methods, showcasing his role as a forward-thinking inventor in the field.