Aster Data, a provider of data processing and data management platform for big data applications, has released a SAS/ACCESS interface engine for Aster Data nCluster, a data application server which is a massively parallel processing (MPP) data warehouse and analytics offering for big data.
The SAS/ACCESS interface is one element of a partnership with SAS which strengthens interoperability by providing direct, native connectivity between SAS and Aster Data’s nCluster that provides SAS users with the ability to leverage Aster Data’s SQL-MapReduce for analytics on big data.
The company said that the SAS/ACCESS combines Aster Data’s data management with SAS’s data quality, data integration and analytics to enable business analysts to unlock more intelligence from their data.
According to Aster Data, the SAS/ACCESS interface for nCluster includes capabilities such as optimised bulk-loading of data through the nCluster for access to large data sets and the ability to natively access SQL-MapReduce from within a SAS session. Both capabilities accelerate data access and maximise performance for large-scale analytics.
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Tasso Argyros, CTO of Aster Data, said: Our vision of enabling richer data analytics and big data management for the enterprise is advanced by broadening our support and connectivity to the leading analytic and business analysis tools. SAS choosing to work with Aster Data validates our ability to provide the best big data management platform for advanced analytics and data-driven applications.
By broadening our partnership with SAS, we’re providing superior access for SAS data miners and business analysts that enables them to derive faster insights from their data by taking advantage of the performance, scale, and unique ability to run application logic with data in a massively-parallel fashion within Aster Data nCluster.
