Quickly generating billion-record synthetic databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
A framework for testing database applications
Proceedings of the 2000 ACM SIGSOFT international symposium on Software testing and analysis
Introduction to Algorithms
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The VLDB Journal — The International Journal on Very Large Data Bases
VLDB '05 Proceedings of the 31st international conference on Very large data bases
QAGen: generating query-aware test databases
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
A parallel general-purpose synthetic data generator
ACM SIGMOD Record
Multi-RQP: generating test databases for the functional testing of OLTP applications
Proceedings of the 1st international workshop on Testing database systems
SVTe: a tool to validate database schemas giving explanations
Proceedings of the 1st international workshop on Testing database systems
Generating XML structure using examples and constraints
Proceedings of the VLDB Endowment
Query-Aware Test Generation Using a Relational Constraint Solver
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
A framework for testing DBMS features
The VLDB Journal — The International Journal on Very Large Data Bases
The test data challenge for database-driven applications
Proceedings of the Third International Workshop on Testing Database Systems
Automated SQL query generation for systematic testing of database engines
Proceedings of the IEEE/ACM international conference on Automated software engineering
Constrained anonymization of production data: a constraint satisfaction problem approach
SDM'10 Proceedings of the 7th VLDB conference on Secure data management
A data generator for cloud-scale benchmarking
TPCTC'10 Proceedings of the Second TPC technology conference on Performance evaluation, measurement and characterization of complex systems
Parallel data generation for performance analysis of large, complex RDBMS
Proceedings of the Fourth International Workshop on Testing Database Systems
Data generation using declarative constraints
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
SemGen: towards a semantic data generator for benchmarking duplicate detectors
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Scalable analysis of conceptual data models
Proceedings of the 2011 International Symposium on Software Testing and Analysis
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Test data provisioning for database-driven applications
BNCOD'10 Proceedings of the 27th British national conference on Data Security and Security Data
Efficient update data generation for DBMS benchmarks
ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
Reordering rows for better compression: Beyond the lexicographic order
ACM Transactions on Database Systems (TODS)
Myriad: scalable and expressive data generation
Proceedings of the VLDB Endowment
Scalable test data generation from multidimensional models
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
Daisy: the center for data-intensive systems at Aalborg University
ACM SIGMOD Record
Performance of graph query languages: comparison of cypher, gremlin and native access in Neo4j
Proceedings of the Joint EDBT/ICDT 2013 Workshops
Rapid development of data generators using meta generators in PDGF
Proceedings of the Sixth International Workshop on Testing Database Systems
Reversing statistics for scalable test databases generation
Proceedings of the Sixth International Workshop on Testing Database Systems
CAiSE'13 Proceedings of the 25th international conference on Advanced Information Systems Engineering
UpSizeR: Synthetically scaling an empirical relational database
Information Systems
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This paper presents a generic, DBMS independent, and highly extensible relational data generation tool. The tool can efficiently generate realistic test data for OLTP, OLAP, and data streaming applications. The tool uses a graph model to direct the data generation. This model makes it very simple to generate data even for large database schemas with complex inter- and intra table relationships. The model also makes it possible to generate data with very accurate characteristics.