Posted By John Rath On September 20, 2013 @ 7:30 am In Big Data | No Comments
Striving to take in-database analytics beyond an emerging trend, Teradata (TDC) announced  its next-generation, in-database R Analytics that are fully parallel and scalable. Customers can integrate the analytic libraries into Teradata’s flexible analytic ecosystem to achieve faster analysis of large datasets. In addition, Teradata now provides the largest, most complete analytic library of over 1,000 in-database analytics.
“In-database analytics is no longer an emerging trend, but now an absolute requirement to meet the processing speed and data volume demands of the business,” said Scott Gnau, president, Teradata Labs . “Through integrating multiple analytic techniques in the database, Teradata empowers its customers to push beyond the traditional limits of analytics by bringing the analytics to the data.”
To respond to customers’ challenges, Teradata opened its database to Revolution Analytics and Fuzzy Logix, and added enhanced database capabilities for XML data analysis, accelerated performance with geospatial data, and extended temporal analytics. These innovations support the Teradata Unified Data Architecture, which enables customers to deploy, support, manage, and seamlessly access all their data in an integrated and dynamic environment.
Revolution R Analytics is an open source statistical language and software that is quickly becoming a tool of choice for data scientists. Teradata and Revolution Analytics are the first to bring parallel R into the database, tackling the complexity of running R analytics in parallel and making it accessible to even more users.
“We are proud to partner with Teradata to offer joint customers the first in-database parallel R platform,” said David Rich, chief executive officer, Revolution Analytics . “With over two million users worldwide, the R language is today’s standard for powerful predictive analytics. Combined with the Teradata Database, Revolution R Enterprise’s scalable, supported R technology enables users to innovate to meet the demands of data-driven businesses.”
Teradata now offers customers the largest library of more than 600 Fuzzy Logix in-database analytics to complement the existing in-database Teradata capabilities, creating more than 1,000 analytics in total. These analytics can easily be accessed with the programing language of business – structured query language (SQL). Fuzzy Logix in-database capabilities, combined with Teradata, provide a scalable solution that makes it possible to accurately predict many types of future outcomes.
Teradata transformed a manual, computationally intense location analysis process and automated it with a new spatial indexing technique. The geospatial capability adds yet another data dimension to enhance the ability of organizations to understand their business. The use of geospatial data is commonplace, for example, by utility companies to quickly identify and respond to outages.
Teradata is the first vendor to pioneer the use of Temporal analytics, which allows customers to create a full picture of an organization’s business at any point in time. Teradata added three new built-in capabilities that streamline, reduce complexity, and simplify the use of Temporal analytics. Temporal analytics enables organizations to capture and track changes as the business evolves over time.
“We continue to push the envelope of what is possible in a database environment. The tools we are offering the analytics professionals within our customer base provide them with the ability to create more analytics against more data, with a faster turnaround time. That is a competitive advantage that our customers want,” said Bill Franks, chief analytics officer, Teradata.
Article printed from Data Center Knowledge: http://www.datacenterknowledge.com
URL to article: http://www.datacenterknowledge.com/archives/2013/09/20/teradata-offers-in-database-analytics/
URLs in this post:
 announced: http://www.teradata.com/News-Releases/2013/Teradata-Offers-First-Fully-Parallel-Scalable-R-Analytics/
 Teradata Labs: http://www.teradata.com/
 Revolution Analytics: http://www.revolutionanalytics.com/
 John Rath: http://www.datacenterknowledge.com/archives/author/johnr/
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