L. A. Rowe and M. R. Stonebraker. The POSTGRES data model. Proc. 13th Int'l Conf. Very Large Data Bases, pages 83--96, September 1987. Home/Search Document Not in Database Summary Related Articles Check |
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Querying Heterogeneous Object Views of a Relational Database - Takahashi, Keller (1993) (1 citation) (Correct)
....as described in [24] and each application should have its own specific object schema. The third problem is that there is not yet a standard query language for object oriented databases, and query capabilities among object oriented database systems vary. Several query languages have been proposed [1, 2, 6, 12, 20], but most of them are also dependent on their own data models. The Penguin system solves these problems. The Penguin system has been developed to allow multiple applications that have their own object schema share data in a common relational database [3, 4, 5, 11, 25] We have developed query ....
L.Rowe and M.Stonebraker. The POSTGRES Data Model. Proc. 13th Conf. on Very Large Data Bases, p.433442, 1989.
Fault Resilience In Main-Memory Databases: Handling Process.. - Bohannon (1999) Self-citation (Data) (Correct)
....The successor to this work has been the Predator project [7] which has explored the use of data structure compilers to create tailored data management solutions for specific applications. A major effort toward relational database extensibility has been the POSTGRES project at Berkeley [72, 63], which evolved into the commercial product Illustra, and has now been integrated with Informix s DBMS to form the Informix Universal Server. This represents the most significant acceptance of DBMS extensibility by the commercial database and application development community, and has led to ....
L. A. Rowe and M. R. Stonebraker. The POSTGRES data model. Proc. 13th Int'l Conf. Very Large Data Bases, pages 83--96, September 1987.
A Non-Uniform Data Fragmentation Strategy for Parallel.. - Bassiliades, Vlahavas (1995) (2 citations) (Correct)
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M. Stonebraker, R. Katz, D. Patterson, J. Ousterhout, The design of XPRS, 14th Int. Conf. Very Large Data Bases, Los Angeles, CA (Sept. 1988) 318-330.
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