Data environments get cloudy as big data reigns

| April 26, 2016

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Data environments get cloudy as big data reigns Using the cloud, companies add new capabilities in days to support big data programs, augment data warehouses and quickly deploy new projects. Read about five emerging deployment styles for leveraging the cloud in your existing data management environment. Summary Big data usually starts out messy. You have some idea what you might do with it, but usually you don’t know quite how you’ll do it. Big data usually doesn’t fit your existing infrastructure. Your first concern might be where to put it all while you tease out the value. Whether you’re a line-of-business pro or a data analyst or an IT tech, you need room to work with it all, comb it out, try out new strategies to get inside it. It might not even sit still for you, such as when data keeps streaming in.

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Logicalis

"Globally headquartered in Slough, UK, Logicalis designs, builds and supports ICT solutions for customers throughout Europe, North America, Latin America and Asia Pacific. Logicalis is a global provider of high-performance technology solutions that has built its business model around helping customers stay focused on their businesses instead of their technology. Logicalis is an international IT solutions and managed services provider with a breadth of knowledge and expertise in communications and collaboration; data centre and cloud services; and managed services. ICT has become the leading edge of business competition. As companies compete to serve customers faster and respond more quickly to change, they are being asked to deliver secure, instantaneous and transparent service with technology that grows more complex every day. "

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