Virtualization has had a beneficial impact on data centers for years, changing the way organizations run and manage their servers, desktops and infrastructure management. It's probably the single most ...
CHAPEL HILL, N.C.--(BUSINESS WIRE)--CData Software, a leading provider of data connectivity solutions, today announced the acquisition of Data Virtuality, a global provider of data integration and ...
PolyBase, a data virtualization feature for SQL Server, allows users to seamlessly query data from various external sources directly using T-SQL (Transact-SQL) without the need for separate client ...
Here’s a look at the top storage virtualization vendors, their products, pricing and sample customers. Product: IBM System Storage SAN Volume Controller 4.3 Services provided: IBM System Storage SAN ...
Nortel plan targets data center, 09/10/07: Nortel plans to push deeper into the data center next year with products that stress virtualization and reliability, and dovetail with the company’s VoIP and ...
eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data virtualization is the process of cleansing and ...
eSpeaks' Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Parallels Virtuozzo Containers is an operating system virtualization product that allows users to populate a single server with a single installed operating system with multiple containers running ...
Microsoft is targeting system management as a way to differentiate itself from competitors in the virtualization market, the company said Tuesday. Anticipating that the market for virtualization ...
The products include a ProLiant blade server specialized for virtualization, four thin-client computers, new equipment for virtualizing storage, and consulting services Hewlett-Packard has announced a ...
To fulfill the promise of big data, you need to abstract data from its underpinnings -- at both the data and infrastructure layers Big data in the cloud has so many potential functional service layers ...
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