Teradata Unveils Extreme Data Platform 1700 with Enhanced Speed and Massive Storage Capacity

teradata-web-analyticsTeradata (NYSE: TDC), supplier of analytic data platforms, applications and services, has delivered the Teradata Extreme Data Platform 1700 with enhanced processing speed and massive storage capacity. The new product can easily handle big data (web) analytic queries from business users.

Several SQL engines in the market are lacking performance, security, and full feature functionality. Teradata states that its Extreme Data Platform allows customers to take advantage of all data by exploiting low cost storage, without having to compromise the robustness of their analytics. The Teradata Extreme Data Platform 1700 also delivers a SQL engine on top of big data and is now being shipped.

3 terabyte drives

The newest version of the platform, Teradata Extreme Data Platform 1700, offers three terabyte drives. System availability has been enhanced with additional hot standby nodes and hot spare drives (optional). Data on the platform would also be better protected with improved data storage architecture. The platform leverages the dual Intel Xeon Sandy Bridge eight-core processors at 2.6GHz. Like all Teradata platforms, it runs Novell SUSE Linux Enterprise Server 11.

In addition to extreme performance for simple and complex tasks, Teradata enables organizations to store more data in less space. The Teradata Extreme Data Platform would be 15 times more data-space efficient than a commodity system, based on a customer’s real world deployment. The platform scales beyond 500 petabytes of compressed data.

The platform is compatible with commonly used analytics and business intelligence applications and is enterprise-ready with the Teradata Database. It offers Intelligent Memory, integrated workload management, first class security, ACID Compliance, and provides standard ANSI SQL compliance.

Industries that would require storage and analytic capabilities such as delivered by the Teradata Extreme Data Platform, include:

  • Web Analytics – Analysis of integrated click-stream data to drive more product sales
  • Regulatory and Compliance – Detailed, multi-year historical data to comply with regulations, such as legal retention other governmental requirements.
  • Sensor Data – RFID product movement and monitoring
  • Airline industry – Store and analyze airplane-generated data to better understand maintenance and repair requirements.
  • Communications Network – Data analysis will enable customers to perform an assessment of consumer behavior, network, cell tower, and handset performance; fulfill legal compliance for retention of several years of history.
  • Actuarial Analysis – Insurance carriers can determine risk profiles of customers with analysis of a variety of different customer characteristics.
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