Storage

All data storage devices are not alike, especially if you are creating intelligence from massive quantities of data. You need storage options that are flexible, that let you leverage your current hardware investments but also provide avenues for growth as your storage needs expand. SAS storage options include SAS data tables, parallel storage, multidimensional databases, and third-party hierarchical and relational databases such as DB2, Oracle, SQL Server, NCR Teradata and more, with fast access and loading from our native access engines. Or, you can combine any of these storage structures to satisfy your unique business requirements. Each of these options is designed to speedily process the ever-increasing amounts of data available today. SAS uses the optimal techniques to create customized intelligence solutions for our customers. While the data storage provided by SAS data tables is sufficient for most organizations and users, some have a need for a high-performance, scalable data delivery solution that is cost efficient and leverages current computing investments to avoid traditional IO bottlenecks. For such situations, SAS offers SAS Intelligence Storage, a dedicated platform designed from the outset to efficiently disseminate information for business intelligence and analytics applications -- from SAS or third parties. By utilizing the latest parallel process and data server capabilities, SAS Intelligence Storage delivers a fully integrated and seamless way to access large volumes of data -- effective for managing tables up to the terabyte range. Multidimensional databases are another storage option -- especially useful when providing business users with multiple views of their data through drill-down capabilities. SAS MDDBs are specialized storage facilities where data is pulled from a data warehouse or other data source for storage in a matrix-like format for fast and easy access to multidimensional data views. In addition to these SAS technologies, warehoused data also can be stored in third-party party hierarchical and relational databases such as DB2, Oracle, SQL Server, NCR Teradata, and so on. SAS interfaces facilitate fast, efficient loading of data to these facilities and allow SAS to work directly from these sources without making a copy. SAS' extensible, platform-independent storage options provide repositories and computing power to suit different business needs while making the most of all your resources.

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