EMC Corporation has enhanced the industry’s first appliance-based unified Big Data analytics offering, the EMC Greenplum Data Computing Appliance (DCA), with a redesign of its systems that are used for statistical analysis, predictive modeling and machine learning. The combination of burgeoning amounts of data, broad diversity in type and structure, and the need for complex mathematics to unlock value from data have overwhelmed traditional architectures and led to emergence of a new class of analytical platforms.
To address these priorities, the new EMC Greenplum Data Computing Appliance (DCA) Unified Analytics Platform (UAP) Edition analytics appliance enables analysis of both structured and unstructured data together within a single integrated appliance. The new DCA integrates Greenplum Databases for analytics-optimized SQL, Greenplum HD for Hadoop-based processing and Greenplum partner business intelligence, ETL, and analtyics applications within a single appliance.
The new DCA offers the power of a massively parallel processing (MPP) architecture, while delivering the fastest data-loading rate and the best price/performance ratio in the industry—without the complexity and constraints of proprietary hardware.
Josh Klahr, Vice President of products, Greenplum, a division of EMCsaid, “Enterprises looking to make strategic investments in a Big Data platform need to consider the breadth of capabilities required of a complete solution—high speed data ingestion, support for structured and unstructured data, interfaces for data scientists as well as business intelligence users, and the ability to scale horizontally as data volumes grow.”
