Archive for the 'File and Content Management' Category
We recently announced the HCP S10 Storage node as part of our HCP portfolio of object storage solutions. See my previous post on the changes that the S10 introduced in the way that we access, manage and protect data.
Most enterprises today, view mobility as a strategic initiative that will increase productivity and efficiency, enrich their business process and enable them to compete in a fast changing world. Mobility is closely tied to cloud. Mobility and cloud have replaced the old, rigid, client server paradigm and opened up a world of new possibilities. Wireless [...]
Today, Hitachi Data Systems is announcing major enhancements to our Hitachi Content platform that raises the bar for object storage. The graphic below shows the breadth and scope of the Hitachi Content Platform with the new enhancements that are highlighted in red.
2014 was a year in which there was an increased focus on object storage. Our object storage platform, Hitachi Content Platform (HCP),is part of a tightly integrated portfolio of HCP (object-based cloud storage), HCP Anywhere (enterprise file sync and share), and the Hitachi Data Ingestor (cloud file gateway). This portfolio saw a tremendous amount of [...]
Recently I was reviewing a slide deck that marketing had put together and I was struck by a statistic, which I thought was dubious. The claim was that there were 545 cloud services that were in use in the average enterprise. I thought this was way out of line as I looked at my own [...]
Last month HDS introduced the Hitachi Compute Blade 500 (CB500) with the latest Intel technology. An interesting new technology that was also introduced with this product was an embedded Ethernet switch. I have asked Gary Pilafas, who has responsibility for Hitachi converged solutions and is a frequent contributor to this blog, http://blogs.hds.com/hu/2011/06/converged-data-solutions-from-hitachi-gary-pilafas.html to tell us [...]
Referring back to my last post, I am continuing my series on big data where we are looking at the dimensions of big data: volume, velocity, variety and value, and what we need to do to address them. The first dimension has to do with the “big” in big data – volume.