SPD Server is designed
to meet the storage and performance demands that are associated with
processing large amounts of data using SAS. As the size of the data
grows, the demand to process that data increases, and storage architecture
must change to keep up with business needs.
SPD Server offers dynamic
cluster tables. Earlier releases of SPD Server provided a cluster
table called the time-based partitioning table. To optimize the benefits
of clustering, the SPD Server administrator can use dynamic clusters
to partition SPD Server data tables for speed and enhanced I/O processing.
Clustering is performed using metadata that, when combined with SPD
Server functionality, provides parallel processing capabilities for
loading and querying data tables. Parallel processing can accelerate
performance and increase the manageability, flexibility, and scalability
of very large data stores.