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  • How to know if your organization is ready for data governance software

    Even if you can identify with the use cases presented here, it's important your organization is well-prepared to deploy the software it buys. Continue Reading

  • Use instant recovery to quickly recover data

    Recovery-in-place, which is sometimes called "instant recovery," is a relatively new data backup technology that allows users to start a virtual machine from a backup copy and run critical applications temporarily while the primary VM is restored. It is widely regarded as an important advancement in the backup space. However, there are a number of important things to consider before deploying recovery-in-place.

    While recoveries can be performed relatively quickly, they are anything but "instant," requiring manual intervention. As such, recovery-in-place is far from a "set-it-and-forget-it" thing and requires careful planning and execution to ensure that it is effective. Another important consideration is whether your backup storage infrastructure will have the performance needs for critical applications. This could require a significant hardware investment in order to make it work. For this reason, recovery-in-place should also be weighed against other technologies, especially replication.

    Learn what you should consider before deploying instant recovery technology and compare it to alternative techs to help you decide if it is right for your needs.

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  • Machine learning use cases add up in AWS' favor

    Creating machine learning models was once a complicated task, best left to mathematicians. But AWS and several other companies are making the technology accessible to enterprises. Continue Reading

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  • Cloud-based data storage for primary data made simpler

    While the number of enterprises that store data in the cloud continues to rise, the amount of data that they store there is still low. Today, public cloud storage is still predominantly used for cold data, archiving or object storage. IT managers are still largely concerned about storing primary data in the cloud for two primary reasons: security is no longer in the hands of the administrator, and cloud transaction times are typically slower than reading or writing data on premises. Because primary data often needs to be frequently accessed and can contain some of a business' most sensitive information, to many storage administrators, it may seem like cloud storage should be automatically ruled out. But that’s not always the case -- including primary data in an enterprise's cloud storage repository often results in a bigger return on investment. Additionally, some primary data, such as applications that generate large amounts of Internet of things data, may ultimately make more sense in a cloud infrastructure. And it might make more sense for business processes, too -- primary data often needs to be accessed from a variety of endpoints, while collaboration is increasingly a must for employees. Numerous cloud file-sharing applications now available on the market can make that possible. For the storage administrator who is weighing the pros and cons of storing more business-critical data in the cloud, this Drill Down will provide the information needed to determine whether data can benefit from and can be secure while being stored in a cloud environment. Continue Reading

  • Hybrid cloud implementation preparation checklist

    Get a complete listing of the resources, use cases and requirements that need to be taken into account before starting a hybrid cloud deployment project. Continue Reading

  • What's the best way to implement SAP NetWeaver PI?

    NetWeaver Process Integration is a powerful tool for linking systems, software and business processes. Here are five tips for using it well. Continue Reading

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  • Pondering the question of IoT data ownership

    As the use cases for the internet of things continue to expand into various sectors and the benefits of analyzing that data collected from IoT grow, the question of IoT data ownership and access privileges is coming to the fore. But we can't simply rely on traditional laws and regulations to set policies around IoT data, writes columnist and former CIO Harvey Koeppel. Instead, he says, we need a different way of thinking: one that will enable us to catch up with the fast evolution of IoT and other technologies.

    In this SearchCIO handbook, Koeppel lists four broad, comprehensive questions around IoT data ownership that CIOs and IT execs should be considering and collaborating around to ensure not just their companies' success, but also the advancement of our society. In our second piece, CTO Niel Nickolaisen delves into why he thinks the "technology everywhere and in everything" world has moved IoT security and privacy to the top of CIOs' priority lists. In our last piece, Features Writer Jason Sparapani looks into two thorny IoT legal issues: data ownership and intellectual property rights.

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  • IT migration case study: Partner helps insurer downsize data center

    HighVail, an IT consulting and professional services firm, helped Empire Life downsize its data center, migrate business applications and create a new disaster recovery site. Continue Reading

  • Track the cost of cloud-based services with better financial management

    Companies that don't monitor the cost of cloud-based services could be in for a nasty surprise, warns Gartner analyst Mindy Cancila. Continue Reading

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