Photo courtesy of Brett Sayles on Pexels. Opinions expressed by Digital Journal contributors are their own. This year, 2025, the global data creation will reach a staggering 181 zettabytes, as ...

High-density storage of big data in the information age calls for higher data transmission rates. Holographic data storage technology, based on the principles of three-dimensional volume holographic ...

Intelligent data infrastructure powered by the new AFF A-Series with integrated data services turbocharges AI and simplifies every workload at scale SAN JOSE, Calif.--(BUSINESS WIRE)-- NetApp® (NASDAQ ...

To keep large amounts of data secure and accessible, cloud storage is an increasingly popular and cost-effective option. Our ...

Cut Costs: Tiering cold data to cheaper storage can reduce expenses by over 70% annually. Boost Security: Moving unstructured data off primary storage limits ransomware exposure. Stay Seamless: ...

In previous attempts at such "indent-based" data storage systems, the indents served as binary code. The presence of an indent represented a 1, while the absence of an indent represented a 0. Not only ...

These 10 data storage startups are tackling disaster recovery and archiving, data protection, and high-speed and secure file sharing -- and even cutting the cost and upping the performance of ...

For roughly a decade, Microsoft has been perfecting a high-density storage technology that uses glass, lasers, and cameras, and ensures it stays intact for millennia. That's a huge improvement over ...

I believe the need for secure and scalable storage solutions has never been more urgent. According to a 2024 report by IBM, the average cost of a data breach has reached an all-time high of $4.88 ...

Cerabyte today announced its expansion into the United States with accessible permanent data storage technology. The technology uses cost-efficient flexible glass material and offers fast write/read ...

Massive data brings convenience and comes with great challenges at the same time. In light of this, how to use and store huge amounts of data wisely has become a difficult problem for data scientists.