Cornell leads National Science Foundation Federated Cloud Project

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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Explore Search appliance for turnkey Big Data Analytics

ExtraHop has launched the fifth generation of its platform.

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Pico selects MapR for Its performance, scalability and flexibility

Innovative Hadoop data platform enables Pico to grow and develop new financial data service offerings for clients in the global capital markets community.

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Informatica appoints Steve Murphy as senior vice president EMEA field operations

Data industry veteran to drive growth across Europe, Middle East and Africa regions and lead expansion into new markets.

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Hewlett Packard Enterprise launches

Following its separation from Hewlett-Packard Company, Hewlett Packard Enterprise debuts as an enterprise technology leader with $53 billion in annual revenue, the most comprehensive product portfolio in the industry and a unique vision for the future of technology and its benefits for enterprise customers.

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Swiss multinational pharmaceutical company Novartis is using Qlik Sense® to drive enterprise-wide...
OVHcloud is scaling its Database as a Service (DBaaS) catalogue with the general availability of...
New release unifies lakehouse storage formats and reinforces Delta Lake as the 'best choice' for...
L'Oréal, the world’s leading beauty player, has chosen Databricks to enable the...
MapR technology will underpin the KODAKOne Platform, an image protection, monetization and...
Customers will be able to turn insights into action at scale by searching for data in cloud data...
Latest Video

How to Turn Data into Business Value

Marc Chemin, Global Insights & Data Consulting Leader, shares his view on how our clients can exploit big data and analytics to enhance organizational revenues, customer satisfaction and business processes.

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