Daniel Ting is an accomplished inventor based in Seattle, WA, with a remarkable portfolio of nine patents. His work primarily focuses on advancements in data management and optimization, showcasing his expertise in the field of technology.

Latest Patents

Among his latest patents, Daniel has developed a method for database normalization using statistical analysis. This innovative approach generates schemas to compress the storage of denormalized data. The method involves receiving user selection of an initial data table and constructing a snowflake schema to decompose the initial data table into multiple related tables connected by foreign keys. The snowflake schema is designed according to a cost model that balances the storage costs of the tables and the foreign keys. Additionally, Daniel's patent on federated query optimization outlines a method for selecting a federation engine to process queries across multiple data sources located in different physical locations. This system generates various federated query plans, predicting runtimes and selecting the most efficient plan for execution.

Career Highlights

Daniel Ting is currently employed at Tableau Software, Inc., where he continues to contribute to innovative solutions in data visualization and analytics. His work has significantly impacted the way organizations manage and interpret data.

Collaborations

Throughout his career, Daniel has collaborated with notable colleagues, including Liqi Xu and Richard Lee Cole, enhancing the quality and scope of his projects.

Conclusion

Daniel Ting's contributions to the field of data management through his patents and work at Tableau Software, Inc. highlight his role as a leading inventor in technology. His innovative methods continue to shape the future of data optimization and query processing.

This text is generated by artificial intelligence and may not be accurate.

Please report any incorrect information to support@idiyas.com