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Forward Thinking Tech Leaders at IO Seeking Big Data Engineer

CTOvision

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 268
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IBM and DESY Develop Big Data Architecture For Science

Data Center Knowledge

Large particle accelerator operator DESY collaborates with IBM to handle the flood of data generated from x-rays with atomic resolution. Big Data IBM'

Big Data 196
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DriveScale Says Big Data Needs a New Kind of Data Center Infrastructure

Data Center Knowledge

Startup founded by Cisco and Sun veterans has built a rack-scale architecture specifically for scale-out Big Data environments Read More.

Big Data 100
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Intel Wants To Re-Architect Data Center Services » Data Center.

Data Center Knowledge

Intel Wants To Re-Architect Data Center Services. Intel Wants To Re-Architect Data Center Services. Diane Bryant, senior vice president and general manager of the Datacenter and Connected Systems Group at Intel, discusses the company’s vision for the data center at an event Monday. Photo: Intel).

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6 questions every business must ask about big data architecture

Tech Republic Data Center

At the 2017 Dell EMC World conference, Dell EMC systems engineer Cory Minton explained how IT leaders can better think through their big data deployments.

Big Data 149
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Big Data Project Management: Data Must Flow!

CTOvision

I'm currently researching big data project management in order to better understand what makes big data projects different from other tech related projects. So far I've interviewed more than a dozen government, private sector, and academic professionals, all of them experienced in managing data intensive projects.

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Open Source or Open Architecture? Big Data Needs Both

Data Center Knowledge

Big Data platforms are growing more popular by the day. However, it is important to keep in mind that we're early in the lifecycle of this technology, and tomorrow's platforms could look dramatically different from what we have today. Read More.

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