Tech Innovation / Thought Leadership / May 19, 2017
The Cross Pollination of Problem Solving for Life Sciences and Media Workflows
At DataFrameworks, we are excited to be a part of DDN's Best Practices for Big Data in Life Sciences Research (BPLS) workshop in Boston on May 23rd. Over the years, we have observed many parallels between life science file-based workflows and media file-based workflows ...
Promo / Tech Innovation / Thought Leadership / May 17, 2017
Accelerating Time to Insight: Focus on Science, not Infrastructure
From treating cancer and enhancing lives with personalized medicine to enabling sustainable food production, it is even more important for life science researchers to choose the right technology provider ...
Promo / Tech Innovation / Thought Leadership / May 12, 2017
NAB Show 2017: Here’s What Happened in Vegas That Didn’t Stay in Vegas
Another successful NAB Show is on the books. This year’s show was buzzing with more than 100,000 attendees, including content creators, producers, and distributors from around the world that resulted in a steady flow of traffic on the show floor ...
Promo / Tech Innovation / Thought Leadership / May 1, 2017
Lustre for Enterprise Computing: DDN’s Commitment and Increased Investments in Lustre, File Systems, and the Future of HPC
During the past decade, parallel file systems have redefined how we think about I/O performance. The largest parallel file system storage environments today deliver TB/sec of bandwidth while, at the same time, sustaining hundreds of thousands of metadata operations ...
Tech Innovation / Thought Leadership / April 18, 2017
DON’T GAMBLE ON NEW MEDIA WORKFLOWS – SEE US IN VEGAS AT NAB17 TO GUARANTEE A BIG DATA WIN
Driven by traditional content creation and even more data-intensive new media trends like VR and 360 video, the media and entertainment industry has become one of the most data-intensive in the world ...
Promo / Tech Innovation / Thought Leadership / April 13, 2017
Accelerating the Genome Sequencing Process
DDN is changing how life science data is stored, shared, and analyzed. Our genomics research customers have documented massive throughput increases for their analysis pipelines with our simple, cost-effective way of scaling capacity and performance as data sets grow ...