Intelligent Storage: Irshad Raihan explains how HP solutions for big data, built on the Intel Xeon processor family, deliver value quickly and cost-effectively to companies analyzing both structured and unstructured storage data.

Faster Time to Value through HP Big Data Analytics

Data center efficiency challenges are on the rise.  With advances in digital technology, everything from medical records, advanced weather modeling, videos, movies are being digitized. Massive amounts of unstructured data (aka “Big Data”) is forcing IT managers to rethink how they manage and store information. A full 17 percent of IT budgets are devoted to storage, and power and cooling costs represent as much as 40 percent of operational expenses. Corporate data is expected to increase by 650 percent from 2009 to 2015.

As enterprise storage continues to grow at a staggering rate, businesses can no longer meet their capacity needs by simply adding more storage to their traditional, siloed data center infrastructure. Enterprise storage solutions based on Intel Technology can evolve storage architecture into dynamic, flexible environments that enable IT to scale capacity and implement efficient capabilities to keep up with explosive data growth.  Intel Xeon Technology provides the energy-efficient performance, added data protection and scalability that powers innovative storage solutions for tomorrow’s data centers. It is time to evolve your storage architecture, retire legacy storage sub-systems and prepare for emergent deployment models, such as the cloud using IT best practices.

Technology

Tech News

Data center efficiency challenges are on the rise. With advances in digital technology, everything from medical records, advanced weather modeling, videos, movies are being digitized. Massive amounts of unstructured data (aka “Big Data”) is forcing IT managers to rethink how they manage and store information. A full 17 percent of IT budgets are devoted to storage, and power and cooling costs represent as much as 40 percent of operational expenses. Corporate data is expected to increase by 650 percent from 2009 to 2015. As enterprise storage continues to grow at a staggering rate, businesses can no longer meet their capacity needs by simply adding more storage to their traditional, siloed data center infrastructure. Enterprise storage solutions based on Intel Technology can evolve storage architecture into dynamic, flexible environments that enable IT to scale capacity and implement efficient capabilities to keep up with explosive data growth. Intel Xeon Technology provides the energy-efficient performance, added data protection and scalability that powers innovative storage solutions for tomorrow’s data centers. It is time to evolve your storage architecture, retire legacy storage sub-systems and prepare for emergent deployment models, such as the cloud using IT best practices.

Data center efficiency challenges are on the rise.  With advances in digital technology, everything from medical records, advanced weather modeling, videos, movies are being digitized. Massive amounts of unstructured data (aka “Big Data”) is forcing IT managers to rethink how they manage and store information. A full 17 percent of IT budgets are devoted to storage, and power and cooling costs represent as much as 40 percent of operational expenses. Corporate data is expected to increase by 650 percent from 2009 to 2015.

As enterprise storage continues to grow at a staggering rate, businesses can no longer meet their capacity needs by simply adding more storage to their traditional, siloed data center infrastructure. Enterprise storage solutions based on Intel Technology can evolve storage architecture into dynamic, flexible environments that enable IT to scale capacity and implement efficient capabilities to keep up with explosive data growth.  Intel Xeon Technology provides the energy-efficient performance, added data protection and scalability that powers innovative storage solutions for tomorrow’s data centers. It is time to evolve your storage architecture, retire legacy storage sub-systems and prepare for emergent deployment models, such as the cloud using IT best practices.

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Faster Time to Value through HP Big Data Analytics

Faster Time to Value through HP Big Data Analytics