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FCW : July 15, 2014
From satellite images and video to transactional and social media data, it's clear that the amount of data government agencies are dealing with is continuing to grow quickly. According to the latest predictions from Deltek, the federal government will have 2.6 petabytes of data within two years, up from about 1.6 petabytes today. While that data can be very useful, it also presents a challenge to agencies because it must all be stored in ways that are secure, accessible and organized. Many existing storage methods are no longer scalable enough to handle the amount of data, fast enough to access the data, or versatile enough to deal with the many varieties of having enough storage infrastructure on site to handle ever-growing stores of data is expensive. For many organizations, a good solution is a mix of on- site storage for extremely sensitive and important data, and cloud-based storage. Storing data in the cloud has many advantages. Not only is it cost-effective---you only pay for the capacity you are using at any given time---but it is eminently scalable, which means that it can accommodate as much data as an agency needs stored. Finally, cloud storage is secure, especially in a organization, it provides an extra level of security for sensitive data. Along with choosing a cloud provider, agencies should consider storage models that can help make cloud-based storage even more storage. For example, there are products available that help organizations manage their data across both clouds and on-premise storage systems through a single storage and data management platform. For sensitive data that must be stored onsite, virtualization can play a valuable role. Storage virtualization enables organizations to manage multiple storage systems as a single system. It's also the Co E o D G o G m C GAME CHANGING ECHNOLOG O MEE AGENC MI ION SPONSORED REPORT STORAGE Moving to the cloud model for some of your storage needs makes a lot of sense, but there will always be situations where some data must remain onsite. And in many cases, data will have to be moved between on-premise systems and the cloud. Creating this type of flexibility requires the right technology. For large, unstructured data sets that require significant scalability onsite, object storage can be a good solution. his method stores images, files and data blocks as individual objects (basically storing data and metadata together), each with its own unique identifier. It is a very scalable and cost-e ective way to store petabytes of data. Object storage is particularly useful for archiving, content distribution and collaboration, but the most popular way to use it is for cloud storage, because object storage systems allow data to be routed more e ectively to the right storage tier and location. It's also an ideal fit because many cloud systems today are themselves built with an object storage methodology. When storage provisioning and management is a top priority, a clustered storage system can be a good choice. Also called scale-out storage, this method allows systems to add capacity or performance by adding more nodes to a storage grid instead of adding more storage itself. his creates more flexibility, because performance can be increased without increasing capacity, and vice versa. here are many reasons why clustered storage can make sense. According to an IDC study, the most important attributes of clustered storage are availability, resiliency and capacity scaling. Because clustered storage technologies can provide non-disruptive operations, it is particularly useful for migrating data and accessing databases. It's also very useful for where server virtualization is involved, because it optimizes storage provisioning and management at the virtual machine level. Innovative Storage Models Take Advantage of the Cloud
June 15, 2014
July 30, 2014