Cornell leads National Science Foundation Federated Cloud Project

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Cornell University will lead a five-year, $5 million project sponsored by the National Science Foundation (NSF) to build a federated cloud comprised of data infrastructure building blocks (DIBBs) designed to support scientists and engineers requiring flexible workflows and analysis tools for large-scale data sets, known as the Aristotle Cloud Federation.

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Businesses fail to measure or monitor customer service quality

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Research highlights lack of consensus on what quality means and finds many businesses prevented by cost, resource and technology barriers from achieving it.

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Alteryx secures $85 million investment

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Led by Iconiq Capital and Insight Venture Partners to drive generational shift in analytics and fuel exponential growth.

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Dell reinforces ‘All-Data’ strategy

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End-to-end big data and analytics solution helps organizations harness all data to connect better with customers, improve operations and systems, and drive new business creation.

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Senior management have unrealistic expectations about IT downtime

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Report identifies gap between IT and senior management expectations.

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Rapid7 acquires Logentries

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Rapid7 has acquired RevelOps, Inc. d/b/a Logentries (Logentries), a leading provider of machine data search technology.

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TigerGraph, provider of the leading graph analytics platform, has announced Graph + AI Summit 2021,...
Study shows today’s IT leaders often ignore data and external advice when making decisions.
Better incentives for researchers and fewer barriers between technological systems are key to...
New advances make it easy to deploy native Spark and Drill applications in Kubernetes.
A cultural shift in attitudes to analytics will be essential for businesses to compete in the age...
Following the success of Snowflake’s sold-out inaugural user conference, Snowflake Summit on June...
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Exploratory Analytics with Dell EMC Elastic Data Platform

Learn more about transforming your organization with Data Analytics and the Elastic Data Platform.

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