SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Interpreting the data: Parallel analysis with Sawzall
Scientific Programming - Dynamic Grids and Worldwide Computing
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Bigtable: a distributed storage system for structured data
OSDI '06 Proceedings of the 7th symposium on Operating systems design and implementation
Data integration with uncertainty
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Asynchronous view maintenance for VLSD databases
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
How is the weather tomorrow?: towards a benchmark for the cloud
Proceedings of the Second International Workshop on Testing Database Systems
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A hierarchical approach to model web query interfaces for web source integration
Proceedings of the VLDB Endowment
Feeding frenzy: selectively materializing users' event feeds
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
In search of an API for scalable file systems: under the table or above it?
HotCloud'09 Proceedings of the 2009 conference on Hot topics in cloud computing
NPC'10 Proceedings of the 2010 IFIP international conference on Network and parallel computing
YCSB++: benchmarking and performance debugging advanced features in scalable table stores
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OPAL: automated form understanding for the deep web
Proceedings of the 21st international conference on World Wide Web
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Proceedings of the 2012 Joint EDBT/ICDT Workshops
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The VLDB Journal — The International Journal on Very Large Data Bases
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This article describes some of the ongoing research projects related to structured data management at Google today. The organization of Google encourages research scientists to work closely with engineering teams. As a result, the research projects tend to be motivated by real needs faced by Google's products and services, and solutions are put into production and tested rapidly. In addition, because of the sheer scale at which Google operates, the engineering challenges faced by Google's services often require research innovations.