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Quanta Offers APS Appliance for Microsoft Analytics Platform

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Quanta QCT announced a collaboration with Microsoft to ship an appliance solution for customers with demanding data warehousing workloads, big data and business intelligence needs. The APS appliance with Microsoft Analytics Platform System, integrates SQL Server Parallel Data Warehouse (PDW) software and optional HDInsight software for Apache Hadoop processing, on a certified hardware platform that includes a suite of tools for working with data.

As a prebuilt solution, each rack is configured to customer requirements, with as many as nine nodes and a choice of three disk capacities. A base unit has 113 terabytes of storage capacity and can be doubled or tripled by adding 2TB or 3TB drives. Three scale units can fit into one rack for more than 1 Petabyte of usable storage. As many as 6 racks can be configured for even more compute resources and usable storage.

“Customers want a big data and business analytics platform without integration or time-to-value risk,” said Mike Yang, general manager, Quanta QCT. “The collaboration between Microsoft and Quanta solves those problems by giving our customers a ready-to-ship, pre-integrated solution that is both economical and scales.”

Quanta’s innovative Quad-enclosure server design offers as many as nine compute nodes per rack and can scale to as many as six racks. Raw disk capacity scales to 1.2 petabytes per rack. The appliance is designed with redundancy throughout for high availability. Each unit is composed of three compute nodes to provide fault-tolerant operation.

“With Analytics Platform System, it’s now easier than ever to deploy a complete data warehousing solution that meets the most complex Big Data and business intelligence needs,” said Eron Kelly, general manager, SQL Server product marketing, , Microsoft. “The Quanta APS Appliance fills a need in the market with customers who need to move fast, manage risk and plan for future data growth.”

About the Author

John Rath is a veteran IT professional and regular contributor at Data Center Knowledge. He has served many roles in the data center, including support, system administration, web development and facility management.

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