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Nesime Tatbul
Researcher at Intel
Publications - 126
Citations - 8419
Nesime Tatbul is an academic researcher from Intel. The author has contributed to research in topics: Stream processing & Query optimization. The author has an hindex of 33, co-authored 115 publications receiving 7753 citations. Previous affiliations of Nesime Tatbul include ETH Zurich & École Polytechnique.
Papers
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Proceedings ArticleDOI
Integrating real-time and batch processing in a polystore
TL;DR: A migrator from S-Store to Postgres that is implemented as a first proof of concept and some interesting results using this migrator that impact the evaluation of query plans are reported.
Proceedings ArticleDOI
Are we experiencing a big data bubble
Fatma Ozcan,Nesime Tatbul,Daniel J. Abadi,Marcel Kornacker,Chandrasekaran Mohan,Karthik Ramasamy,Janet L. Wiener +6 more
TL;DR: Find out more about Fatma Ozcan, C Mohan, and Janet Wiener's work at IBM Almaden Research Center by contacting them.
Posted Content
MISIM: An End-to-End Neural Code Similarity System.
Fangke Ye,Zhou Shengtian,Anand Venkat,Ryan Marcus,Nesime Tatbul,Jesmin Jahan Tithi,Paul Petersen,Timothy G. Mattson,Tim Kraska,Pradeep Dubey,Vivek Sarkar,Justin Gottschlich +11 more
TL;DR: MISIM uses a novel context-aware similarity structure, which is designed to aid in lifting semantic meaning from code syntax, and provides a neural-based code similarity scoring system, which can be implemented with various neural network algorithms and topologies with learned parameters.
Proceedings ArticleDOI
An adaptable workflow system architecture on the Internet for electronic commerce applications
TL;DR: This work proposes a workflow system architecture based on CORBA 2.0 where methods are invoked through XML so that the end user can activate workflow components through the workflow domain manager over the network.
Data Integration Services
TL;DR: Instead of finding relevant sources, interacting with every source and combining data from different sources, a user can ask queries in a unified way and this facilitates new functionality (OLAP, Data mining).