Sanjay Ghemawat
American computer scientist (born 1966)
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Through Google, Big data and TensorFlow
Ghemawat was elected as a member into the National Academy of Engineering in 2009 for contributions to the science and engineering of large-scale distributed computer systems.
Education and early career
Ghemawat was born in West Lafayette, Indiana and grew up in Kota, Rajasthan. He studied at Cornell University and the Massachusetts Institute of Technology (MIT). He obtained a PhD from MIT in 1995, with a dissertation titled, The Modified Object Buffer: A Storage Management Technique for Object-Oriented Databases. His advisors were Barbara Liskov and Frans Kaashoek.
Before joining Google, Ghemawat worked at the DEC Systems Research Center. There he began his long-time collaboration with Jeff Dean, who worked at another DEC research lab nearby. Their work at DEC included a Java compiler and a system profiling tool.
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Career at Google
After DEC was acquired by Compaq, many of its researchers left the company. Dean took a position at the newly founded search-engine company Google, and was joined by Ghemawat in 1999. The two began working on Google's core infrastructure, making improvements to cope with the search engine's rapid growth in users in the early 2000s.
Ghemawat's work at Google includes:
- Original design of Protocol Buffers, an open-source data interchange format.
- MapReduce, a system for large-scale data processing applications.
- Google File System, is a proprietary distributed file system developed to provide efficient, reliable access to data using large clusters of commodity hardware.
- Spanner, a scalable, multi-version, globally distributed, and synchronously replicated database.
- Bigtable, a large-scale semi-structured storage system.
- LevelDB, an open-source on-disk key-value store.
- TensorFlow, an open-source machine-learning software library.
- Service Weaver, an open-source framework for writing distributed applications.