Data is the backbone of modern businesses, and with the increasing amount of data generated each day, organizations need to…
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We’re on a mission to start a conversation with your customers in this fast connected world.
As we continue to rely more heavily on digital technology in both our personal and professional lives, the need for…
At the turn of the century, shared-nothing storage architectures were instrumental in helping organizations scale beyond what was then possible…
Over the last 12-18 months, global supply chain shortages have been a challenge for most industries—creating a ripple effect that…
The concept of digital files is nothing new to the media and entrainment industry. It is, after all, the primary…
It’s no surprise that cyber security and data protection are at the forefront of everyone’s business planning. And rightfully so—there seems to be an attack showing up in the media practically every day. As such, it makes sense that object storage as a security factor is gaining increasing attention within the media and entertainment industry.
I will be the first to admit that end-of-year prediction articles have never been a favorite of mine. For the most part, they tend to pontificate on technology and business processes that are so far out of scope for the average company that they become downright laughable.
The world of post-production storage is constantly evolving—and as we approach 2022, its evolution continues in full force. There is, as always, the need for storage. But what does that mean in 2022? For instance, where should that storage reside? In a data center? In your data center? Is it accessible via the cloud? If so, how do you define the cloud?
Every day, we all see our respective data storage growing exponentially. And with that, there is only one outcome: spending more money. It’s this all-too-common reality that brings us to the ultimate question: why do I need data storage analytics?
As we quickly approach 2022 (yes, I said it—and yes, this year has flown by), there is one thing in all the constant madness of the past 18 months that hasn’t changed, and that’s the fact that production teams are still struggling with perpetual data growth.
