Teradata has announced that it offers next-generation, in-database R Analytics that are fully parallel and scalable. In addition, Teradata confirmed that it now provides a complete analytic library of over 1,000 in database analytics, enhanced access to native Extensible Markup Language (XML) data, streamlined temporal analytics, and capabilities that make geospatial data faster and easier to use.
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. 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.” said Scott Gnau, President, Teradata Labs.
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.
To respond to customers’ challenges, Teradata opened its database to Revolution Analytics and Fuzzy Logix. These innovations support the next-generation Teradata Unified Data Architecture, which enables customers to deploy, support, manage, and seamlessly access all their data in an integrated and dynamic environment.
