Data Center Management E-Products

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We have gathered our editorially written E-Books, E-Zine, guides and research to save you the effort of having to track such premium content down on your own, ultimately helping you to solve your toughest IT challenges more effectively – and faster – than ever before.

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  • CWEurope

    The monthly CW Europe e-zine focuses on multiple themes relevant to the European market. CW Europe discusses key management issues for IT pros – from building a new data centre, considering cloud computing, to developing a more secure infrastructure.

  • Modern Infrastructure

    Modern Infrastructure covers the convergence of technologies -- from cloud computing to virtualization to mobile devices -- and the impact on data centers.

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  • Balance innovation and governance with big data projects

    Analytics opportunities are booming, and surveys show big data projects are growing as well. In the new big data world, that should be exciting news for data scientists and business analysts itching to come up with ways to use all of the information at their fingertips. But the big data frontier isn't all about letting data scientists run wild with the information, and if the public response to the Edward Snowden NSA revelation is any indication, customers won't be happy if organizations let analysts have a free-for-all with their information. Balance is key.

    For some companies, lawyers are getting involved with big data projects. At personal finance software company Intuit, lawyers, analytics managers, data scientists and others teamed up and made rules for accessing and analyzing different sets of customer data. This method may seem like a scary or stifling prospect for some data scientists, but such governance is inherently more collaborative and less controlling, which is a good thing for the analytics and the legal teams. Because the two groups with seemingly opposing objectives worked together instead of reacting to each other, they were better able to meet their objectives.

    But a successful approach to big data projects doesn't have to mean full-on collaboration between lawyers and data scientists. Companies can find the mix of input that works from them. In this e-book chapter, get advice on striking the right balance between maintaining control over the big data analytics process and giving data scientists the freedom they need to do their jobs effectively.

  • Understanding data storage requirements in a virtual environment

    Even though virtualization has become commonplace in today's data centers, provisioning storage for applications on virtual machines (VMs) often remains a pain point for IT professionals. Random I/O processes unique to virtual environments often put a strain on storage hardware and it's common for one, or even several, VMs to eat up bandwidth, leaving others without the power they need. In addition, configuring logical unit numbers and volumes when provisioning storage for virtual environments can be extremely complicated.

    Today, vendors of emerging storage technologies are attempting to pave a smoother path toward better performance and capacity in virtual environments. Technologies such as hyper-converged storage aim to create a simpler configuration by shipping the hypervisor and storage in one box. Other products, deemed "software-defined storage," often pool storage to better utilize capacity and performance. But that doesn't mean managers don't still need to understand the unique set of challenges VMs place on storage. In this e-book, readers will learn how to cope with these challenges by understanding how virtualization changes the way storage should be provisioned and monitored. They will also learn how new technologies in the storage for virtual environment space can help and what types of applications they are most beneficial for, and how once murky technologies such as software-defined storage have grown to be more clearly defined as viable options for storing VMs.

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