Object Relational DBMSs: The Next Great Wave
Object Relational DBMSs: The Next Great Wave
Developing XML Documents with Guaranteed ``Good'' Properties
ER '01 Proceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling
Conceptual Modeling for Customized XML Schemas
ER '02 Proceedings of the 21st International Conference on Conceptual Modeling
From XML Schema to Relations: A Cost-Based Approach to XML Storage
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
System RX: one part relational, one part XML
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Native XML support in DB2 universal database
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Supporting complex queries on multiversion XML documents
ACM Transactions on Internet Technology (TOIT)
Object role modelling and XML-Schema
ER'00 Proceedings of the 19th international conference on Conceptual modeling
XML conceptual modeling using UML
ER'00 Proceedings of the 19th international conference on Conceptual modeling
Recommending XMLTable Views for XQuery Workloads
XSym '09 Proceedings of the 6th International XML Database Symposium on Database and XML Technologies
Informatica
Lessons learned from DB2 pureXML applications: a practitioner's perspective
XSym'10 Proceedings of the 7th international XML database conference on Database and XML technologies
A workload-aware approach for optimizing the XML schema design trade-off
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Recommending XML physical designs for XML databases
The VLDB Journal — The International Journal on Very Large Data Bases
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In response to the widespread use of the XML format for document representation and message exchange, major database vendors support XML in terms of persistence, querying and indexing. Specifically, the recently released IBM DB2 9 (for Linux, Unix and Windows) is a hybrid data server with optimized management of both XML and relational data. With the new option of storing and querying XML in a relational DBMS, data architects face the the decision of what portion of their data to persist as XML and what portion as relational data. This problem has not been addressed yet and represents a serious need in the industry. Hence, this paper describes ReXSA, a schema advisor tool that is being prototyped for IBM DB2 9. ReXSA proposes candidate database schemas given an information model of the enterprise data. It has the advantage of considering qualitative properties of the information model such as reuse, evolution and performance profiles for deciding how to persist the data. Finally, we show the viability and practicality of ReXSA by applying it to custom and real usecases.