A Proactive Approach to Data Availability and Resiliency Old-school data protection is merely an expensive insurance policy that deals reactively with disruption. Because preserving a copy of the data is the focus, day-to-day availability gets less attention. But this approach is out of step with the reality of always-on workflows.
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Digital transformation is fundamentally changing the way organizations view and manage their data. IDC research indicates that 60% of organizations will have embarked on a digital transformation effort by 2020. For many of them, the goal is becoming a data-driven organization. Data-driven organizations are those that are able to generate revenue and competitive advantage from
From backup to recovery and data reuse Is Backup That Important? Market Trends Data loss and application unavailability can take a significant toll on organizations of all sizes. We live and operate in a data-centric world. Very much like turning on a light switch, we just expect that data will be available when we need
10 questions to see what your data protection might be missing Today’s always-on workflows are underpinned by the need for connected and constant data availability. Data models have become increasingly shared, multi-instance, multi-premises, multi-cloud footprints. To be effective, you need to evolve your data protection to meet today’s realities, prioritizing both data recovery and continuous
Data is often the most valuable asset in an organization. For some businesses, it’s their lifeblood. Enterprises need a modern platform that’s fast enough to restore data instantly when it matters most, and big enough to consolidate and simplify the data center.
Data is a valuable resource and the volumes of it being managed by enterprises are growing rapidly, making this data growth both a blessing and a curse. Organizations have high expectations when it comes to recovering from downtime and how much data they are willing to lose, even with less-critical apps and their data.
The move to data-centric business models is geared to enable organizations to turn their data into data capital.Because of the more stringent performance, scalability, availability, flexibility,and management requirements of the data-centric model, these organizations must modernize their storage and data protection infrastructure through the process of IT transformation.This white paper defines data capital, describes how
This Dell EMC solution processed more IOPS and reduced data more efficiently than a competitor array Businesses of all sizes struggle with aging gear and lack of storage. In fact, in a 2018 Enterprise Storage Forum survey, IT and business leaders cited these concerns as their two biggest storage infrastructure challenges. But in mid- to
Pursuing agility to truly impact business transformation requires embracing data center modernization as a core competency. Crucial to this is having the most up-to-date IT infrastructure to support the scale and complexity of a changing technology landscape. Companies must embrace this imperative by adopting software-defined data center principles, embracing modernization, and automating their IT management