WHITE PAPER:
This paper discusses the current state of copper-based network cabling standards as defined by ISO and TIA. Learn the difference between category 5e, 6, 6A, 7 and 7A and Class D, E, EA, F and FA.
WHITE PAPER:
Read this e-book to learn why 50% of surveyed data center execs prefer Category 7/Class F network cabling. See for yourself how this advancement in network cabling can support speeds beyond 10 Gb/s.
EZINE:
In this week's Computer Weekly, we find out about the digital transformation at Guinness World Records – dedication, that's what you need. We examine the new space race – to launch low-orbit, low-cost communications satellites. And we look at the role of technology in sustainability strategies. Read the issue now.
EZINE:
We search back through the Computer Weekly archives held at The National Museum of Computing to present what was happening in IT over the past five decades.
EGUIDE:
The CPaaS and API market is bustling, with acquisitions and new vendors emerging. Inside, learn about the recent API trends that should be on your radar, and discover a CPaaS buyer's guide that will help you properly evaluate vendors and choose the right CPaaS for your enterprise.
RESOURCE:
Access this resource to learn about the three ways flash provides value and a strong ROI. Read on to find out why additional virtualization features prove that flash is a smart investment.
EGUIDE:
IT leaders implementing and operating Skype for Business are often concerned about how they can provide excellent call quality and voice performance. So, what can you do to ensure the best experience as you transition to Skype for Business? In this expert e-guide, learn the three key steps for call quality success with Skype for Business.
EGUIDE:
Access this e-guide to get a strategy in place to ease your transition to HCI and reduce your hardware needs, as well as time spent working on storage and hypervisors.
EGUIDE:
Machine learning examples are finally making their way to the home territory of computer science – the data center. Learn why data centers are an ideal environment for machine learning and explore examples of machine learning found in data centers.
