Teradata Changes the Economics for Storing and Processing Large Volumes of Relational Data
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The amount of data created and stored in every industry has exploded from 100's of terabytes to 100's of petabytes. The large volumes of relational data are typically offloaded or sometimes even discarded. To drive analytics, organizations require fast and easy access to all the detailed, historical data, not a sample. To respond to this need, there is an emerging set of immature SQL engines, however, they lack performance, security, and full feature functionality. In comparison, the Teradata 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.
"Before the Teradata Extreme Data Platform 1700, those customers searching for a solution under
A
In addition to extreme performance for simple and complex tasks,
The Teradata Extreme Data Platform is compatible with commonly used analytics and business intelligence applications and designed for high performance. It easily handles big data analytic queries from business users. The Teradata Extreme Data Platform is enterprise-ready with the Teradata Database. It offers Intelligent Memory, integrated workload management, first class security, ACID Compliant (Atomicity, Consistency, Isolation, Durability), and provides standard ANSI SQL compliance (
What's Improved?
The Teradata Extreme Data Platform now offers three terabyte drives, a more cost-effective storage option. System availability has been enhanced with additional optional hot standby nodes and hot spare drives and data is better protected with improved data storage architecture. The Platform leverages the dual Intel® Xeon®
Deep Dive Analytics
As information grows, the ability to perform deep-dive analytics is growing.
- A jet engine can generate 10 terabytes of information per engine every 30 minutes of flight.
- A twin-engine plane traveling from
New York toLos Angeles can generate up to 240 terabytes of data. When that base rate is calculated by nearly 30,000 flights in the sky at any one time, the amount of data to be stored and analyzed amasses quickly.
Other examples of industries that require the storage and analytic capability of 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 - 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.
The Teradata Extreme Data Platform 1700 is now being shipped. The ability to ingest and analyze JSON data will be available in early 2014.
Unified Data Architecture™ (UDA)
Data stored in the Extreme Data Platform is kept in the same
Relevant Links
- White Paper, Dr.
Barry Devlin , 9sight Consulting, Unlock Machine-Generated Data: https://site.teradata.com/Microsite/Unlock-Machine-Gen-Data/Download/.ashx
About
Get to know
Twitter: https://twitter.com/teradatanews
Facebook: http://www.facebook.com/Teradata
LinkedIn: http://www.linkedin.com/company/teradata/products
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