Information mining platforms: an infrastructure for KDD rapid deployment
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Query optimization in compressed database systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Logical and physical support for heterogeneous data
Proceedings of the eleventh international conference on Information and knowledge management
Efficient OLAP query processing in distributed data warehouses
Information Systems - Special issue: Best papers from EDBT 2002
Efficient OLAP Query Processing in Distributed Data Warehouses
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Optimizing Queries on Compressed Bitmaps
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
An Application-Specific Database
DBPL '01 Revised Papers from the 8th International Workshop on Database Programming Languages
Declarative specification of Web sites with S
The VLDB Journal — The International Journal on Very Large Data Bases
Handbook of massive data sets
Gigascope: a stream database for network applications
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
PADS: a domain-specific language for processing ad hoc data
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
XQueC: A query-conscious compressed XML database
ACM Transactions on Internet Technology (TOIT)
Bigtable: a distributed storage system for structured data
OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
Gecko: tracking a very large billing system
ATEC '00 Proceedings of the annual conference on USENIX Annual Technical Conference
Bigtable: a distributed storage system for structured data
OSDI '06 Proceedings of the 7th symposium on Operating systems design and implementation
Bigtable: A Distributed Storage System for Structured Data
ACM Transactions on Computer Systems (TOCS)
Stream warehousing with DataDepot
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Proceedings of the Symposium on Computer Human Interaction for the Management of Information Technology
A MapReduce approach to Gi*(d) spatial statistic
Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems
Enabling real time data analysis
Proceedings of the VLDB Endowment
Just-in-time compilation for SQL query processing
Proceedings of the VLDB Endowment
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The Daytona™ data management system is used by AT&T to solve a wide spectrum of data management problems. For example, Daytona is managing a 4 terabyte data warehouse whose largest table contains over 10 billion rows. Daytona's architecture is based on translating its high-level query language Cymbal (which includes SQL as a subset) completely into C and then compiling that C into object code. The system resulting from this architecture is fast, powerful, easy to use and administer, reliable and open to UNIX™ tools. In particular, two forms of data compression plus robust horizontal partitioning enable Daytona to handle terabytes with ease.