Materialized views are queries whose results are stored and maintained in order to facilitate
access to data in their underlying base tables. In the SQL setting, they are now considered a …

Views materialization is a powerful technique for optimization of query evaluation. However,
when data sources are updated, these materialized views (MVs) should be maintained in …

Science applications are producing an ever-increasing volume of multi-dimensional data
that are mainly processed with distributed array databases. These raw arrays …

Although many skew-handling algorithms have been proposed for simple join operations,
they remain generally inefficient in the case of e-join and in the case of multi-join. A new …

The development of scalable parallel database systems requires the design of efficient
algorithms for the join operation which is the most frequent and expensive operation in …

BACKGROUND A database is a collection of stored data that is logically related and that is
accessible by one or more users or appli cations. A popular type of database is the relational …

Bulk Synchronous Parallel ML is a high-level language for programming parallel algorithms.
Built upon OCaml and using the BSP model, it provides a safe setting for their …

This paper presents a new functional parallel language: Minimally Synchronous Parallel ML
(MSPML). The execution time can be estimated, dead-locks and indeterminism are avoided …

During maintaining the materialized view in the data warehouse, how to efficiently handle
the concurrent updates is an important and intractable problem. The paper discusses typical …

Speeding up queries processing is an important issue in database management.
Materialized views are largely used to address this issue. They have been proven …