Raghu Ramakrishnan

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 34

Top Venues

Publications

Ashvin Agrawal, Tim Brown, Anoop Johnson, Jesús Camacho-Rodríguez, Kyle Weller, Carlo Curino, Raghu Ramakrishnan
XTable in Action: Seamless Interoperability in Data Lakes. CoRR (2024)
Josep Aguilar-Saborit, Raghu Ramakrishnan, Kevin Bocksrocker, Alan Halverson, Konstantin Kosinsky, Ryan O'Connor, Nadejda Poliakova, Moe Shafiei, Taewoo Kim, Phil Kon-Kim, Haris Mahmud-Ansari, Blazej Matuszyk, Matt Miles, Sumin Mohanan, Cristian Petculescu, Ishan Rahesh-Madan, Emma Rose-Wirshing, Elias Yousefi
Extending Polaris to Support Transactions. CoRR (2024)
Shafi Ahmad, Dillidorai Arumugam, Srdan Bozovic, Elnata Degefa, Sailesh Duvvuri, Steven Gott, Nitish Gupta, Joachim Hammer, Nivedita Kaluskar, Raghav Kaushik, Rakesh Khanduja, Prasad Mujumdar, Gaurav Malhotra, Pankaj Naik, Nikolas Ogg, Krishna Kumar Parthasarthy, Raghu Ramakrishnan, Vlad Rodriguez, Rahul Sharma, Jakub Szymaszek, Andreas Wolter
Microsoft Purview: A System for Central Governance of Data. Proc. VLDB Endow. 16 (12) (2023)
Gustavo Alonso, Natassa Ailamaki, Sailesh Krishnamurthy, Sam Madden, Swami Sivasubramanian, Raghu Ramakrishnan
Future of Database System Architectures. SIGMOD Conference Companion (2023)
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs. Proc. VLDB Endow. 16 (12) (2023)
Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
LST-Bench: Benchmarking Log-Structured Tables in the Cloud. CoRR (2023)
Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Mueller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan
Towards Building Autonomous Data Services on Azure. SIGMOD Conference Companion (2023)
Andreas Müller, Carlo Curino, Raghu Ramakrishnan
MotherNet: A Foundational Hypernetwork for Tabular Classification. CoRR (2023)
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs. CoRR (2022)
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
The Seattle report on database research. Commun. ACM 65 (8) (2022)
Rahul Potharaju, Terry Kim, Eunjin Song, Wentao Wu, Lev Novik, Apoorve Dave, Pouria Pirzadeh, Andrew Fogarty, Gurleen Dhody, Jiying Li, Vidip Acharya, Sinduja Ramanujam, Nicolas Bruno, César A. Galindo-Legaria, Vivek R. Narasayya, Surajit Chaudhuri, Anil Nori, Tomas Talius, Raghu Ramakrishnan
Hyperspace: The Indexing Subsystem of Azure Synapse. Proc. VLDB Endow. 14 (12) (2021)
Josep Aguilar-Saborit, Raghu Ramakrishnan
POLARIS: The Distributed SQL Engine in Azure Synapse. Proc. VLDB Endow. 13 (12) (2020)
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR (2020)
Rahul Potharaju, Terry Kim, Wentao Wu, Vidip Acharya, Steve Suh, Andrew Fogarty, Apoorve Dave, Sinduja Ramanujam, Tomas Talius, Lev Novik, Raghu Ramakrishnan
Helios: Hyperscale Indexing for the Cloud & Edge. Proc. VLDB Endow. 13 (12) (2020)
Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino
Extending Relational Query Processing with ML Inference. CIDR (2020)
Raghu Ramakrishnan, Arvinder Kaur
An empirical comparison of predictive models for web page performance. Inf. Softw. Technol. 123 (2020)
Raghu Ramakrishnan, Arvinder Kaur
Performance evaluation of web service response time probability distribution models for business process cycle time simulation. J. Syst. Softw. 161 (2020)
Peter Bailis, Magda Balazinska, Xin Luna Dong, Juliana Freire, Raghu Ramakrishnan, Michael Stonebraker, Joseph M. Hellerstein
Winds from Seattle: Database Research Directions. Proc. VLDB Endow. 13 (12) (2020)
Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Sriram Rao, Giovanni Matteo Fumarola, Botong Huang, Kishore Chaliparambil, Arun Suresh, Young Chen, Solom Heddaya, Roni Burd, Sarvesh Sakalanaga, Chris Douglas, Bill Ramsey, Raghu Ramakrishnan
Hydra: a federated resource manager for data-center scale analytics. NSDI (2019)
Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. CoRR (2019)
Nicolás Poggi, Víctor Cuevas-Vicenttín, Josep Lluis Berral, Thomas Fenech, Gonzalo Gómez, Davide Brini, Alejandro Montero, David Carrera, Umar Farooq Minhas, José A. Blakeley, Donald Kossmann, Raghu Ramakrishnan, Clemens A. Szyperski
Benchmarking Elastic Cloud Big Data Services Under SLA Constraints. TPCTC (2019)
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
The Seattle Report on Database Research. SIGMOD Rec. 48 (4) (2019)
Raghu Ramakrishnan, Arvinder Kaur
Little's law based validation framework for load testing. Inf. Softw. Technol. 108 (2019)
Konstantinos Karanasos, Matteo Interlandi, Doris Xin, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino
Extending Relational Query Processing with ML Inference. CoRR (2019)
Brian F. Cooper, P. P. S. Narayan, Raghu Ramakrishnan, Utkarsh Srivastava, Adam Silberstein, Philip Bohannon, Hans-Arno Jacobsen, Nick Puz, Daniel Weaver, Ramana Yerneni
PNUTS to Sherpa: Lessons from Yahoo!'s Cloud Database. Proc. VLDB Endow. 12 (12) (2019)
Raghu Ramakrishnan, Arvinder Kaur
Technique for Detecting Early-Warning Signals of Performance Deterioration in Large Scale Software Systems. ICPE (2017)
Raghu Ramakrishnan, Vandana Shrawan, Prabhpahul Singh
Setting Realistic Think Times in Performance Testing: A Practitioner's Approach. ISEC (2017)
Raghu Ramakrishnan, Baskar Sridharan, John R. Douceur, Pavan Kasturi, Balaji Krishnamachari-Sampath, Karthick Krishnamoorthy, Peng Li, Mitica Manu, Spiro Michaylov, Rogério Ramos, Neil Sharman, Zee Xu, Youssef Barakat, Chris Douglas, Richard Draves, Shrikant S. Naidu, Shankar Shastry, Atul Sikaria, Simon Sun, Ramarathnam Venkatesan
Azure Data Lake Store: A Hyperscale Distributed File Service for Big Data Analytics. SIGMOD Conference (2017)
Byung-Gon Chun, Tyson Condie, Yingda Chen, Brian Cho, Andrew Chung, Carlo Curino, Chris Douglas, Matteo Interlandi, Beomyeol Jeon, Joo Seong Jeong, Gyewon Lee, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Mariia Mykhailova, Shravan M. Narayanamurthy, Joseph Noor, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Taegeon Um, Julia Wang, Markus Weimer, Youngseok Yang
Apache REEF: Retainable Evaluator Execution Framework. ACM Trans. Comput. Syst. 35 (2) (2017)
Daniel Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom
The Beckman report on database research. Commun. ACM 59 (2) (2016)
Christopher Ré, Divy Agrawal, Magdalena Balazinska, Michael J. Cafarella, Michael I. Jordan, Tim Kraska, Raghu Ramakrishnan
Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? SIGMOD Conference (2015)
Konstantinos Karanasos, Sriram Rao, Carlo Curino, Chris Douglas, Kishore Chaliparambil, Giovanni Matteo Fumarola, Solom Heddaya, Raghu Ramakrishnan, Sarvesh Sakalanaga
Mercury: Hybrid Centralized and Distributed Scheduling in Large Shared Clusters. USENIX Annual Technical Conference (2015)
Markus Weimer, Yingda Chen, Byung-Gon Chun, Tyson Condie, Carlo Curino, Chris Douglas, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Shravan M. Narayanamurthy, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Julia Wang
REEF: Retainable Evaluator Execution Framework. SIGMOD Conference (2015)
Raghu Ramakrishnan
Scale-out Beyond Map-Reduce. HiPC (2015)
Carlo Curino, Djellel Eddine Difallah, Chris Douglas, Subru Krishnan, Raghu Ramakrishnan, Sriram Rao
Reservation-based Scheduling: If You're Late Don't Blame Us! SoCC (2014)
Daniel J. Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom
The Beckman Report on Database Research. SIGMOD Rec. 43 (3) (2014)
Raghu Ramakrishnan, Geoffrey I. Webb
Does social good justify risking personal privacy? KDD (2014)
H. V. Jagadish, Johannes Gehrke, Alexandros Labrinidis, Yannis Papakonstantinou, Jignesh M. Patel, Raghu Ramakrishnan, Cyrus Shahabi
Big data and its technical challenges. Commun. ACM 57 (7) (2014)
Bill Howe, Michael J. Franklin, Juliana Freire, James Frew, Tim Kraska, Raghu Ramakrishnan
Should we all be teaching "intro to data science" instead of "intro to databases"? SIGMOD Conference (2014)
Joshua Rosen, Neoklis Polyzotis, Vinayak R. Borkar, Yingyi Bu, Michael J. Carey, Markus Weimer, Tyson Condie, Raghu Ramakrishnan
Iterative MapReduce for Large Scale Machine Learning CoRR (2013)
Artur Andrzejak, Joachim Giesen, Raghu Ramakrishnan, Ion Stoica
Parallel Data Analysis (Dagstuhl Seminar 13251). Dagstuhl Reports 3 (6) (2013)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Raghu Ramakrishnan
Content recommendation on web portals. Commun. ACM 56 (6) (2013)
Raghu Ramakrishnan
Big Data in 10 Years. IPDPS (2013)
Byung-Gon Chun, Tyson Condie, Carlo Curino, Raghu Ramakrishnan, Russell Sears, Markus Weimer
REEF: Retainable Evaluator Execution Framework. Proc. VLDB Endow. 6 (12) (2013)
Raghu Ramakrishnan
Scale-out beyond map-reduce. KDD (2013)
Adam Silberstein, Jianjun Chen, David Lomax, B. McMillan, Masood Mortazavi, P. P. S. Narayan, Raghu Ramakrishnan, Russell Sears
PNUTS in Flight: Web-Scale Data Serving at Yahoo. IEEE Internet Comput. 16 (1) (2012)
Raghu Ramakrishnan
The Future of Information Discovery and Search: Content Optimization, Interactivity, Semantics, and Social Networks. VLDS (2012)
Jianjun Chen, Chris Douglas, Michi Mutsuzaki, Patrick Quaid, Raghu Ramakrishnan, Sriram Rao, Russell Sears
Walnut: a unified cloud object store. SIGMOD Conference (2012)
Russell Sears, Raghu Ramakrishnan
bLSM: a general purpose log structured merge tree. SIGMOD Conference (2012)
Byung-Gon Chun, Carlo Curino, Russell Sears, Alexander Shraer, Samuel Madden, Raghu Ramakrishnan
Mobius: unified messaging and data serving for mobile apps. MobiSys (2012)
Sriram Rao, Raghu Ramakrishnan, Adam Silberstein, Mike Ovsiannikov, Damian Reeves
Sailfish: a framework for large scale data processing. SoCC (2012)
Yingyi Bu, Vinayak R. Borkar, Michael J. Carey, Joshua Rosen, Neoklis Polyzotis, Tyson Condie, Markus Weimer, Raghu Ramakrishnan
Scaling Datalog for Machine Learning on Big Data CoRR (2012)
Ganesh Ananthanarayanan, Chris Douglas, Raghu Ramakrishnan, Sriram Rao, Ion Stoica
True elasticity in multi-tenant data-intensive compute clusters. SoCC (2012)
Vinayak R. Borkar, Yingyi Bu, Michael J. Carey, Joshua Rosen, Neoklis Polyzotis, Tyson Condie, Markus Weimer, Raghu Ramakrishnan
Declarative Systems for Large-Scale Machine Learning. IEEE Data Eng. Bull. 35 (2) (2012)
Raghu Ramakrishnan
CAP and Cloud Data Management. Computer 45 (2) (2012)
Arnab Nandi, Cong Yu, Philip Bohannon, Raghu Ramakrishnan
Data Cube Materialization and Mining over MapReduce. IEEE Trans. Knowl. Data Eng. 24 (10) (2012)
Sudarshan Kadambi, Jianjun Chen, Brian F. Cooper, David Lomax, Raghu Ramakrishnan, Adam Silberstein, Erwin Tam, Hector Garcia-Molina
Where in the World is My Data? Proc. VLDB Endow. 4 (11) (2011)
Gordon S. Blair, Fabio Kon, Walfredo Cirne, Dejan S. Milojicic, Raghu Ramakrishnan, Dan Reed, Dilma M. Da Silva
Perspectives on cloud computing: interviews with five leading scientists from the cloud community. J. Internet Serv. Appl. 2 (1) (2011)
Adam Silberstein, Ashwin Machanavajjhala, Raghu Ramakrishnan
Feed following: the big data challenge in social applications. DBSocial (2011)
AnHai Doan, Raghu Ramakrishnan, Alon Y. Halevy
Crowdsourcing systems on the World-Wide Web. Commun. ACM 54 (4) (2011)
Arnab Nandi, Cong Yu, Philip Bohannon, Raghu Ramakrishnan
Distributed cube materialization on holistic measures. ICDE (2011)
Brian F. Cooper, Adam Silberstein, Erwin Tam, Raghu Ramakrishnan, Russell Sears
Benchmarking cloud serving systems with YCSB. SoCC (2010)
Adam Silberstein, Jeff Terrace, Brian F. Cooper, Raghu Ramakrishnan
Feeding frenzy: selectively materializing users' event feeds. SIGMOD Conference (2010)
Raghu Ramakrishnan
Cloud Data Management @ Yahoo! DASFAA (1) (2010)
Daniel Abadi, Michael J. Carey, Surajit Chaudhuri, Hector Garcia-Molina, Jignesh M. Patel, Raghu Ramakrishnan
Cloud Databases: What's New? Proc. VLDB Endow. 3 (2) (2010)
Bee-Chung Chen, Raghu Ramakrishnan, Jude W. Shavlik, Pradeep Tamma
Bellwether analysis: Searching for cost-effective query-defined predictors in large databases. ACM Trans. Knowl. Discov. Data 3 (1) (2009)
Rakesh Agrawal, Anastasia Ailamaki, Philip A. Bernstein, Eric A. Brewer, Michael J. Carey, Surajit Chaudhuri, AnHai Doan, Daniela Florescu, Michael J. Franklin, Hector Garcia-Molina, Johannes Gehrke, Le Gruenwald, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Henry F. Korth, Donald Kossmann, Samuel Madden, Roger Magoulas, Beng Chin Ooi, Tim O'Reilly, Raghu Ramakrishnan, Sunita Sarawagi, Michael Stonebraker, Alexander S. Szalay, Gerhard Weikum
The Claremont report on database research. Commun. ACM 52 (6) (2009)
Nilesh N. Dalvi, Ravi Kumar, Bo Pang, Raghu Ramakrishnan, Andrew Tomkins, Philip Bohannon, S. Sathiya Keerthi, Srujana Merugu
A web of concepts. PODS (2009)
Parag Agrawal, Adam Silberstein, Brian F. Cooper, Utkarsh Srivastava, Raghu Ramakrishnan
Asynchronous view maintenance for VLSD databases. SIGMOD Conference (2009)
Fei Chen, Byron J. Gao, AnHai Doan, Jun Yang, Raghu Ramakrishnan
Optimizing complex extraction programs over evolving text data. SIGMOD Conference (2009)
Brian F. Cooper, Eric Baldeschwieler, Rodrigo Fonseca, James J. Kistler, P. P. S. Narayan, Chuck Neerdaels, Toby Negrin, Raghu Ramakrishnan, Adam Silberstein, Utkarsh Srivastava, Raymie Stata
Building a Cloud for Yahoo! IEEE Data Eng. Bull. 32 (1) (2009)
Raghu Ramakrishnan
Data Management in the Cloud. ICDE (2009)
Boon Thau Loo, Tyson Condie, Minos N. Garofalakis, David E. Gay, Joseph M. Hellerstein, Petros Maniatis, Raghu Ramakrishnan, Timothy Roscoe, Ion Stoica
Declarative networking. Commun. ACM 52 (11) (2009)
Bee-Chung Chen, Kristen LeFevre, Raghu Ramakrishnan
Adversarial-knowledge dimensions in data privacy. VLDB J. 18 (2) (2009)
Warren Shen, Pedro DeRose, Robert McCann, AnHai Doan, Raghu Ramakrishnan
Toward best-effort information extraction. SIGMOD Conference (2008)
Philip Bohannon, Srujana Merugu, Cong Yu, Vipul Agarwal, Pedro DeRose, Arun Shankar Iyer, Ankur Jain, Vinay Kakade, Mridul Muralidharan, Raghu Ramakrishnan, Warren Shen
Purple SOX extraction management system. SIGMOD Rec. 37 (4) (2008)
Raghu Ramakrishnan
Web Data Management. ADC (2008)
Lin Guo, Sihem Amer-Yahia, Raghu Ramakrishnan, Jayavel Shanmugasundaram, Utkarsh Srivastava, Erik Vee
Efficient top-k processing over query-dependent functions. Proc. VLDB Endow. 1 (1) (2008)
Ricardo Baeza-Yates, Raghu Ramakrishnan
Data challenges at Yahoo! EDBT (2008)
AnHai Doan, Jeffrey F. Naughton, Raghu Ramakrishnan, Akanksha Baid, Xiaoyong Chai, Fei Chen, Ting Chen, Eric Chu, Pedro DeRose, Byron J. Gao, Chaitanya Gokhale, Jiansheng Huang, Warren Shen, Ba-Quy Vuong
Information extraction challenges in managing unstructured data. SIGMOD Rec. 37 (4) (2008)
Brian F. Cooper, Raghu Ramakrishnan, Utkarsh Srivastava, Adam Silberstein, Philip Bohannon, Hans-Arno Jacobsen, Nick Puz, Daniel Weaver, Ramana Yerneni
PNUTS: Yahoo!'s hosted data serving platform. Proc. VLDB Endow. 1 (2) (2008)
Rakesh Agrawal, Anastasia Ailamaki, Philip A. Bernstein, Eric A. Brewer, Michael J. Carey, Surajit Chaudhuri, AnHai Doan, Daniela Florescu, Michael J. Franklin, Hector Garcia-Molina, Johannes Gehrke, Le Gruenwald, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, Henry F. Korth, Donald Kossmann, Samuel Madden, Roger Magoulas, Beng Chin Ooi, Tim O'Reilly, Raghu Ramakrishnan, Sunita Sarawagi, Michael Stonebraker, Alexander S. Szalay, Gerhard Weikum
The Claremont report on database research. SIGMOD Rec. 37 (3) (2008)
Kristen LeFevre, David J. DeWitt, Raghu Ramakrishnan
Workload-aware anonymization techniques for large-scale datasets. ACM Trans. Database Syst. 33 (3) (2008)
Raghu Ramakrishnan
Cloud Computing at Yahoo! COMAD (2008)
Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Nitin Motgi, Seung-Taek Park, Raghu Ramakrishnan, Scott Roy, Joe Zachariah
Online Models for Content Optimization. NIPS (2008)
Lei Chen, Christopher Olston, Raghu Ramakrishnan
Parallel Evaluation of Composite Aggregate Queries. ICDE (2008)
Raghu Ramakrishnan
Cloud Computing - Was Thomas Watson Right After All? ICDE (2008)
Fei Chen, AnHai Doan, Jun Yang, Raghu Ramakrishnan
Efficient Information Extraction over Evolving Text Data. ICDE (2008)
Raghu Ramakrishnan
The Role of Hierarchies in Exploratory Data Mining. ECML/PKDD (1) (2008)
Adam Silberstein, Brian F. Cooper, Utkarsh Srivastava, Erik Vee, Ramana Yerneni, Raghu Ramakrishnan
Efficient bulk insertion into a distributed ordered table. SIGMOD Conference (2008)
Raghu Ramakrishnan, Bee-Chung Chen
Exploratory mining in cube space. Data Min. Knowl. Discov. 15 (1) (2007)
Pedro DeRose, Warren Shen, Fei Chen, Yoonkyong Lee, Douglas Burdick, AnHai Doan, Raghu Ramakrishnan
DBLife: A Community Information Management Platform for the Database Research Community (Demo). CIDR (2007)
AnHai Doan, Philip Bohannon, Raghu Ramakrishnan, Xiaoyong Chai, Pedro DeRose, Byron J. Gao, Warren Shen
User-Centric Research Challenges in Community Information Management Systems. IEEE Data Eng. Bull. 30 (2) (2007)
Raghu Ramakrishnan
Databases on the web. SIGMOD Conference (2007)
Douglas Burdick, AnHai Doan, Raghu Ramakrishnan, Shivakumar Vaithyanathan
OLAP over Imprecise Data with Domain Constraints. VLDB (2007)
Raghu Ramakrishnan, Andrew Tomkins
Toward a PeopleWeb. Computer 40 (8) (2007)
Warren Shen, AnHai Doan, Jeffrey F. Naughton, Raghu Ramakrishnan
Declarative Information Extraction Using Datalog with Embedded Extraction Predicates. VLDB (2007)
Héctor Corrada Bravo, Raghu Ramakrishnan
Optimizing mpf queries: decision support and probabilistic inference. SIGMOD Conference (2007)
Pedro DeRose, Warren Shen, Fei Chen, AnHai Doan, Raghu Ramakrishnan
Building Structured Web Community Portals: A Top-Down, Compositional, and Incremental Approach. VLDB (2007)
Raghu Ramakrishnan
Community Systems: The World Online. CIDR (2007)

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Publication Activity (10 Years)

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Raghu Ramakrishnan