Sentence examples for a clustered database from inspiring English sources

RAC can be considered an extension of the regular single-instance configuration, since it is a composition of several instances of Oracle.RAC is a clustered database solution that requires a two or more node hardware configuration capable of working together under a clustered operating system.

Following ion scores indicate a significant hit (p<0.05): >53 for NCBInr searches, >14 for searches in the tardigrade protein database and >27 by searching the EST clustered database.

Traditionally, this type of functionality has been accomplished with a clustered relational database that requires a sizable upfront investment, brings more complexity than is typically needed, and often requires a DBA to maintain and administer.

To begin to address this problem, we constructed whole embryo and adult central nervous system (CNS) EST libraries and created a clustered sequence database of the Hirudo transcriptome that is available to the scientific community.

Subsequently, two tardigrade specific databases have been established: a clustered tardigrade EST database and a tardigrade protein database which was extracted from the clustered EST database and thus represents a subdatabase containing all tardigrade-specific proteins with annotated function.

We compared the query retrieval time against a traditional relational data model running on a MySQL Cluster database, and a relational model running on a MongoDB key-value document database.

We assume that in a Cassandra cluster database, the stored data scheme is under the form of events generated from distributed connected devices or external systems.

Because the fix involves making a query to a cluster of databases, that cluster was quickly overwhelmed by hundreds of thousands of queries a second.

This enabled EuroPineDB to be developed and tested in a redundant Oracle RAC (Real Application Cluster) database.

The first one is a global analysis of the cluster database indicating its reliability.

The ability to physically cluster a database table on multiple dimensions is a powerful technique that offers significant performance benefits in many online analytical processing (OLAP), warehousing, and decision support systems.