Bengaluru, India

Bhalaji Narayanan

USPTO Granted Patents = 9 

 

Average Co-Inventor Count = 3.1

ph-index = 3

Forward Citations = 16(Granted Patents)


Company Filing History:


Years Active: 2017-2024

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9 patents (USPTO):Explore Patents

Title: Innovations of Bhalaji Narayanan

Introduction

Bhalaji Narayanan is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of data processing and storage, holding a total of nine patents. His work focuses on improving the efficiency and effectiveness of handling data in various technological environments.

Latest Patents

One of Bhalaji's latest patents addresses the challenges of handling out-of-order data during stream processing and persisting it in a temporal graph database. This technology aims to overcome deficiencies associated with common practices for managing out-of-order data in streaming databases. The innovation allows for the out-of-order data to be stored as additional data linked to the temporal graph, rather than in a snapshot. It records modification times for the data and adjusts earlier data in the database to match the timestamps of the out-of-order data. Another notable patent involves partitioning a temporal graph for distributed storage. This method creates multiple storage blocks for different types of graph elements based on predefined label groups. It also includes sharding these storage blocks into multiple shards based on a configurable sharding count.

Career Highlights

Bhalaji has worked with several notable companies throughout his career, including Cisco Technology, Inc. and Telefonaktiebolaget Lm Ericsson. His experience in these organizations has contributed to his expertise in data processing technologies.

Collaborations

Bhalaji has collaborated with talented individuals such as Arun Kumar Raghavendra and Ramesh Nethi, further enhancing his innovative work in the field.

Conclusion

Bhalaji Narayanan's contributions to data processing and storage technologies are noteworthy. His patents reflect a deep understanding of the challenges in handling data efficiently. His work continues to influence advancements in the field, showcasing his role as a significant inventor.

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