Data Compression in Scientific and Statistical Databases
IEEE Transactions on Software Engineering
Application of splay trees to data compression
Communications of the ACM
Arithmetic coding for data compression
Communications of the ACM
Computer Database Organization, 2nd Ed
Computer Database Organization, 2nd Ed
Database Design
Data Compression Conference, (DCC 1991)
Data Compression Conference, (DCC 1991)
Design of Database Structures
XMill: an efficient compressor for XML data
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Query optimization in compressed database systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Knowledge management and XML: derivation of synthetic views over semi-structured data
ACM SIGAPP Applied Computing Review
Database compression with data mining methods
Information organization and databases
Efficient Aggregation Algorithms for Compressed Data Warehouses
IEEE Transactions on Knowledge and Data Engineering
Performance Measurements of Tertiary Storage Devices
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Aggregation Algorithms for Very Large Compressed Data Warehouses
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Semantic Compression of Temporal Data
WAIM '01 Proceedings of the Second International Conference on Advances in Web-Age Information Management
Data Compression Support in Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Compact Representation: An Approach to Efficient Implementation for the Data Warehouse Architecture
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Object-relational management of complex geographical objects
Proceedings of the 12th annual ACM international workshop on Geographic information systems
C-store: a column-oriented DBMS
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Long-term database support for EXPRESS data
SSDBM'1994 Proceedings of the 7th international conference on Scientific and Statistical Database Management
Integrating compression and execution in column-oriented database systems
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Compression techniques for fast external sorting
The VLDB Journal — The International Journal on Very Large Data Bases
Answering aggregation queries in a secure system model
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
RadixZip: linear time compression of token streams
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Read-Optimized, Cache-Conscious, Page Layouts for Temporal Relational Data
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
SIMD-scan: ultra fast in-memory table scan using on-chip vector processing units
Proceedings of the VLDB Endowment
External sorting with on-the-fly compression
BNCOD'03 Proceedings of the 20th British national conference on Databases
Fast integer compression using SIMD instructions
Proceedings of the Sixth International Workshop on Data Management on New Hardware
Efficient compression of text attributes of data warehouse dimensions
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Evaluation of a Hybrid Approach for Efficient Provenance Storage
ACM Transactions on Storage (TOS)
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Despite the fact that computer memory costs have decreased dramatically over the past few years, data storage still remains, and will probably always remain, an important cost factor for many large scale database applications. Compressing data in a database system is attractive for two reasons: data storage reduction and performance improvement. Storage reduction is a direct and obvious benefit, while performance improves because smaller amounts of physical data need to be moved for any particular operation on the database.We address several aspects of reversible data compression and compression techniques:general concepts of data compression;a number of compression techniques;a comparison of the effects of compression on common data types;advantages and disadvantages of compressing data; andfuture research needs.