Rapid Insight With Results: Harnessing Analytics in the Cloud

Today’s data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges while maintaining an effective analytical culture, many organizations are exploring cloud-based environments coupled with powerful business intelligence (BI) and analytical technology to accelerate decisions and enhance business performance. Register to access the report now.
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Entry scale-out systems that put data to work

The latest generation of IBM Power Systems, with POWER8 technology, is the first family of systems built with innovations that transform the power of big data and analytics, mobile, and cloud into competitive advantages in ways never before possible, putting data to work for you.
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Accelerate IT Operations with Cloud

Today’s CIOs are in a challenging situation: according to IDC, up to 70% of their IT budget is spent on systems maintenance and operations, yet business leaders across the enterprise are continuously bringing requests for new and more competitive systems and improved functionality.
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Getting Off the Data Treadmill: New Strategies for Hybrid Cloud

In today’s age of Cloud, Big Data and social marketing, businesses are inundated with ever-growing amounts of data. Cost, performance, growth and complexity all add to the risk of data loss, data failure or even migration from one platform to another. This IT Managers Journal offers guidance from data experts and features resources that can help ease the data dilemma.
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The Forrester Wave™: Hybrid2 Integration

In Forrester’s 51-criteria evaluation of hybrid² integration vendors, we identified the 14 most significant middleware providers. Instead of exploring only single products, we researched the functionality and interoperability of all relevant products from each vendor to understand their fit for hybrid scenarios between the cloud and on-premises as well as across the different traditional on-premises integration capabilities. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help CIOs select the right partner for their hybrid² integration endeavors.
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Inktank Helps Dreamhost Deliver Cloud Storage with Ceph

DreamHost®, a global web and cloud hosting company, prides themselves on providing a quality customer experience backed by the absolute best technology in the industry. They are continuously looking for ways to diversify their offerings, improve reliability, and deliver the best overall service possible. Through their fifteen-year history, DreamHost has grown to over 5000 servers, over 170 employees, and more than 1.2 million domains.
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Ceph Storage for Dell OpenStack™ Virtual Infrastructures

Private, Public, and Hybrid Cloud operating models are today's dominant strategy for deploying large infrastructures. As such vast scale, every cost is examined and optimized. Many deployments take advantage of free open source software to reduce costs, choosing cohesive cloud frameworks like OpenStack™ to avoid building everything from scratch. OpenStack is a cloud operating system designed to enable anyone to build powerful cloud infrastructures on an open, extensible platform.
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5 Critical Considerations for Enterprise Cloud Backup

An increasing amount of critical corporate data resides outside the firewall on end user devices, cloud apps and remote servers. This framework provides key considerations when evaluating cloud backup solutions to ensure adequate protection security and availability of enterprise data.
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Best Practice Security in a Cloud-Enabled World

This report explores that security in a fast-paced technology-infused world cries for an “invest once and deploy everywhere” approach. For this to be realized, security must be planned in advance and built-in, yet still be fluidly adaptable to circumstances, and singularly controllable.
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Leveraging the Cloud for Your Big Data Workloads

This report explores how with the right partner, enterprises can ensure that their Big Data workloads perform consistently, securely, and cost effectively while delivering to a line-of-business colleagues’ need for on-demand, real-time analytics to make smart business decisions.
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