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eWEEK IT SCIENCE RESOURCE PAGE: Red Hat needed to identify a platform that would accelerate collaboration across the global organization -- spanning diverse functions and geographies -- and that would allow users to leverage and share large-scale compute resources.
eWEEK PRODUCT NEWS ANALYSIS: Enterprises can collect, classify, reduce and analyze edge/streaming data to derive real-time insights in Microsoft Azure deployments.
Capable of handling complex multidimensional models with millions of trillions of cells, rapid scenario planning, analytics and reporting, Adaptive's Business Planning Cloud includes purpose-built domain intelligence to make it faster for users to build functional models rather than always...
eWEEK NEWS ANALYSIS: Chances are you’ve never heard of the U.S. Digital Service, but this office uses technical skills and innovative approaches that provide a lesson for IT operations everywhere.
eWEEK NEW-PRODUCT ANALYSIS: Rather than the HP Dragonfly tagline being “Lighter Than Air,” which it isn’t, it should be “Impressive Laptop,” which it is.
eWEEK NEW PRODUCT NEWS: New options will include integrated analytics, autonomous database, packaged data models and best- practice KPIs.
eWEEK NEWS ANALYSIS: VMware and Oracle—sworn enemies for years, though not in the open source world—are now playing nicely together in catering to all those thousands of customers globally who are using them both in the data center and in the cloud.
eWEEK NEW-PRODUCT ANALYSIS: At its annual OpenWorld conference, the company introduced Autonomous Linux, additions to its partner ecosystem and cloud region accessibility, more options for tighter security, improvements to virtual infrastructure and numerous ways to infuse intelligence into...
eWEEK NEW-PRODUCT ANAYSIS: At VMWorld, Apstra delivers intent-based networking to VMware’s NSX-T.
eWEEK NEW-PRODUCT ANALYSIS RESOURCE PAGE: On the performance side, a single z15 system can process up to 1 trillion web transactions per day, scale-out to 2.4 million Docker instances and support massive (20TB+) databases.