While Teradata chief technical officer Stephen Brobst thinks "Big Data is a terrible name" because it's not just about the "bigness" of the data but rather "a different kind of data" (text, social ...

Teradata’s data warehousing and analytics strategy continues to be heavily influenced by Big Data, which took center stage at its annual Partners user conference in Dallas, Texas, last week. While ...

Dubai, United Arab Emirates February 26, 2014 Teradata Corp. (NYSE: TDC), the leading analytic data platforms, applications and services company, announced today that The Information Difference ...

Teradata said Tuesday it will achieve double-digit growth in big data analysis and the Internet of Things (IoT) services market here with its latest integrated database management system. "We have ...

We recently compiled a list of the 12 Best Big Data Stocks To Buy According to Hedge Funds. In this article, we are going to take a look at where Teradata Corporation (NYSE:TDC) stands against the ...

Dubai, UAE - Organizations are struggling to capture and interpret data that is spread across various analytic systems, each system handling different types of processing and data. Teradata (NYSE: TDC ...

Teradata Corp. is announcing a patent that it calls “the next big thing in analytic business foresight.” Teradata acquired Aster Data, the developer of the technology, in April. The technology, known ...

Teradata Corporation has signed a definitive agreement to acquire Aster Data Systems, a market leader and pioneer in advanced analytics and the management of a variety of diverse data that is not ...

The continued popularity of big tech and big data companies capitalizing on the mountain of growth potential from AI, creates high expectations for their stocks. However, not all are performing at ...

Dublin, Sept. 17, 2024 (GLOBE NEWSWIRE) -- The "Germany Big Data Analytics in Retail Market, By Region, Competition, Forecast & Opportunities, 2019-2029F" report has been added to ...

Big data refers to large and diverse collections of data that cannot be managed by traditional data processing tools. Although the need to manage large data sets goes back to the 1960s and 1970s, it ...