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Ease Data Growth Pains with Scalable Storage

RubyNicholson

Guest blog written by Bill Mannel, VP & GM – HPC, Big Data & IoT Solutions, HPE Servers

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The communications, media, and entertainment (CME) industry is experiencing a paradigm shift driven by Big Data analytics and demand for digital content over many devices for a more personalized customer experience.

CME companies should intelligently manage the lifecycle of customer, network, and usage data to understand how their customers use their products and services, and enhance service delivery to a diverse audience. 

As connected personal devices proliferate and viewing options continually evolve, CME organizations are investing in storage technologies which help manage ever-mounting volumes of data. According to a recent IDC study, the media industry is one of the top three fastest-growing industries in terms of spending on Big Data-related infrastructure, software, and services (25% CAGR).

Companies face a number of challenges as they convert to storage infrastructures capable of scaling up for the future. According to an Enterprise Strategy Group study, primary storage challenges include rapid growth of unstructured data, data protection, hardware costs, increasing scarcity of physical space, and data migration.

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Consider this example: German TV Station RTL II had an active video archive growing by 200 terabytes per year, and needed a more efficient way to scale. After transitioning to a simpler infrastructure flexible enough to handle multiple storage workloads and deploying a new storage architecture that combined best-in-class storage hardware and object storage software, the station gained petabyte-level scalability and accelerated video transfer speeds tenfold. 

Deploying highly scalable storage architectures can help CME companies ease these pains and shift focus to leveraging data assets for a better customer experience than their competition.

Emerging object storage architectures provide cost-effective solutions which allow organizations to keep pace with expanding capacity demands, improve data security and availability, and reduce storage expenditures.

Content depot solutions for Big Data powered by software-based storage offer breakthrough data management capabilities, simplicity, and flexibility. Organizations can benefit from limitless storage capacities to house their most valuable digital resources, speed time-to-value, and support Big Data initiatives now and into the future.

New scale-out architectures, with compute directly attached to storage, offer improvements to a number of business-critical areas:

  • Object storage can be deployed in a few hours, dramatically reducing downtime and accelerating business performance.
  • Massive consolidation significantly reduces storage costs.
  • Purpose-built hardware optimized for storage-intensive workloads speeds application performance to ensure reliable and uninterrupted access to data and applications.
  • Data security can be heightened via multi-site redundancy measures to mitigate risk and protect against breaches and data leaks.

Like it or not, staying ahead of the data curve requires CME organizations rethink their storage approach and consider an IT transformation to maximize storage density to meet petabyte-scale storage needs. Solutions built on software-defined storage platforms and powerful hardware can drive the improved performance, reliability, and scalability needed in today’s highly competitive environment.

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About the Author

RubyNicholson

I am a Senior Manager managing external content and social media for HPE Servers Awareness. Stay tuned for topics on Mission Critical Solutions, Core Enterprise and SMB Solutions, Next Gen Workload Solutions, Big Data and HPC, Cloudline and HPS Options! Follow me @RubyD_Nich