Teradata Expands Data Science Collaboration Capabilities

Cloud data analytics specialist Teradata has released collaborative features to its Vantage platform designed to reduce the friction between data scientists, business analysts, data engineers and business managers – some of whom may use different tools and languages. Enhancements include expanded native support for R and Python, with the ability to call more Vantage-native analytic […]

Teradata Acquires StackIQ

Today Teradata announced the acquisition of StackIQ, developers of one of the industry’s fastest bare metal software provisioning platforms which has managed the deployment of cloud and analytics software at millions of servers in data centers around the globe. The deal will leverage StackIQ’s expertise in open source software and large cluster provisioning to simplify and automate the deployment of Teradata Everywhere. Offering customers the speed and flexibility to deploy Teradata solutions across hybrid cloud environments, allows them to innovate quickly and build new analytical applications for their business. “Teradata prides itself on building and investing in solutions that make life easier for our customers,” said Oliver Ratzesberger, Executive Vice President and Chief Product Officer for Teradata. “Only the best, most innovative and applicable technology is added to our ecosystem, and StackIQ delivers with products that excel in their field. Adding StackIQ technology to IntelliFlex, IntelliBase and IntelliCloud will strengthen our capabilities and enable Teradata to redefine how systems are deployed and managed globally.”

insideBigData Industry Predictions for 2017

In this special guest feature, Daniel Gutierrez from insideBIGDATA offers up his 2017 roundup industry predictions from Big Data thought leaders. “AI, ML, and NLP innovations have really exploded this past year but despite a lot of hype, most of the tangible applications are still based on specialized AI and not general AI. We will continue to see new use-cases of such specialized AI across verticals and key business processes. These use-cases would primarily be focused on the evolutionary process improvement side of the digital transformation.”