Company Filing History:
Years Active: 2012-2017
Title: Siemel Naran: Innovator in Data Transactions
Introduction
Siemel Naran is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of data transactions, holding 2 patents that showcase his innovative approach to technology. His work primarily focuses on enhancing the efficiency and reliability of data operations.
Latest Patents
One of Siemel Naran's latest patents is titled "Long-lived data transactions." In this invention, a method is described that includes accessing a mapping that represents a correspondence between a column in a source database and a column in a temporary storage table. This occurs in response to receiving a data operation request to execute a data operation on a column of the source database. The method further includes changing the temporary storage table by executing the data operation on it and performing a reconstruction operation using data from both the temporary storage table and the source database.
Another patent under his name also focuses on "Long-lived data transactions." This embodiment outlines a method for facilitating long-lived data transactions by starting a data transaction during a first user session, storing data associated with the transaction in a temporary storage table, and ending the transaction during a second user session using the contents of the temporary storage table.
Career Highlights
Siemel Naran is currently employed at Oracle International Corporation, where he continues to develop innovative solutions in data management. His expertise in this area has positioned him as a valuable asset to the company.
Collaborations
Siemel has collaborated with several talented individuals, including Kanchan Shringi and Min Lu. Their combined efforts contribute to the advancement of technology in their respective fields.
Conclusion
Siemel Naran's contributions to data transactions reflect his commitment to innovation and excellence. His patents demonstrate a forward-thinking approach that is essential in today's data-driven world.