Teradata has made its third acquisition of a company specializing in big data within about a month, with the latest deal involving consulting firm Think Big Analytics The addition of Think Big will ...

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 ...

Teradata is an analytics company which is a Gartner leader in cloud databases. The company reported strong growth in its public cloud annual recurring revenue [ARR], which increased by 89% year over ...

ANAHEIM, Calif., Oct. 5 — Teradata Corp. (NYSE: TDC), the big data analytics and marketing applications company today announced highlights of the upcoming Teradata 2015 PARTNERS Conference and Expo ...

HAMBURG, Germany, April 18 — Teradata (NYSE: TDC), the big data analytics and marketing applications company, today announced innovative Hybrid Cloud advancements across its data warehouse product ...

The big data analytics firm Teradata Corp. is accelerating its move into artificial intelligence application development with today’s launch in private preview of the new Teradata AI Unlimited ...

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 ...

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 said Thursday it plans to buy data warehousing startup Aster Data Systems, continuing a run of consolidation in the market for technology that can process ever-growing amounts of "big data." ...

Data fabric solution provider Tervela, based in Acton, Massachusetts, has announced a partnership with Teradata, an analytic data solutions company, that will allow customers to acquire large volumes ...

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 ...