Big data and the demands that its collection, processing and security put on IT resources - is on about every IT decision maker's mind right about now. The so-called Four V's of Big Data-volume, variety, velocity and value are holding true as defining terms for this relatively new IT phenomenon. In today’s world with continuous increase in complexity of a data center, including the rapid deployment of virtual servers (Cloud), ever expanding compliance requirements, and increasing amounts of sensitive data on mobile devices has put more strain on backup and recovery.
According to a recent CIO Market Pulse survey on data protection and management, 42 % of CIOs describe their organization’s data management practices as “outdated,” and 31% describe them as “chaotic.” This comes as no surprise considering the rapid growth of data and the evolution of new technologies. Unfortunately, these outdated and chaotic data-management practices can halt strategic initiatives, as they leave critical data unprotected and inaccessible, and exacerbate the data growth problem.
Modern data and information management is a tightly integrated blend of snapshot, replication and persistent copies that are secure, managed and accessible through a single, unified platform. You can’t backup and recover the way you used to. It’s causing organizations to rethink their strategy.
Few back-up software are optimized to protect data and information assets whether they are physical, virtual or in the cloud. This unified approach to backup and recovery replaces outdated legacy backup solutions that impact operational efficiency and leave businesses at risk. Automated, policy-driven snapshot-management technology for both physical and virtual environments allows companies to recover from backups up to 50 percent faster.
Virtualization is one area where IT organizations are feeling the constraints of traditional data management. Storage capacity and performance management, backup and recovery, and storage provisioning are all made more challenging by an increase in data resulting from virtualization.
“There are cost savings of virtualizing the environment, but it breaks traditional-style back-up that they’ve been doing in their physical environment,” researcher says. With high server consolidation and the resulting increased data density per physical host, the old protection strategy of moving data from one place to another simply does not work. No matter how efficiently done, there is not enough time to copy all the data and allow the short recovery-point and recovery-time objectives that businesses increasingly demand. Still most of our data is on those not so reliable hard drives.
As these data sets grow exponentially, IT organizations have only a fixed amount of time in which to carry out backup and recovery processes. And they must do so without affecting performance and availability. This is becoming increasingly difficult as business operations extend beyond the traditional eight- to 10-hour workday.
According to the research report Endpoint Device Backup Trends, “less than half (49%) of organizations back up all of their desktop PCs and only 38% do so for laptops.” Data on these devices is often subject to stringent security and compliance requirements, but managing its protection cost-effectively can be difficult given the rapid growth in mobility and data. Legacy approaches to backup and recovery fall short due to network, security and usability constraints, and slow, resource-intensive end-user data restoration.
One Market Pulse survey respondent summed it up well: “Everything is data, and data is everything.”
The Google study examined replacement rates of more than 100,000 S ATA/PATA drives deployed in Google's own data centers. They also found that no single parameter, or combination of parameters, produced by the SMART (Self-Monitoring Analysis and Reporting Technology) built into disk drives is actually a good predictor of drive failure.
Disasters that threaten a business can happen anywhere at any time. But no matter how it is caused, a loss of data, or no access to data for any kind of extended period, inevitably means a loss of revenue, a loss of productivity, a loss of reputation, and increased costs.
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