I can’t help but enjoy reading some of the comments, debates and other various blog articles on optical storage technologies, especially on technology durability and media longevity, even more when compared to tape storage for long-term digital archiving or as a slightly active data repository. Back in November 2011, I wrote a blog on the capacity density of the new BDXL Blu-Ray format being denser than LTO5 tapes. But now I want to explore longevity. How long should your data last on a given technology? And I don’t just mean the data on the media – I mean is the media supported today without your datacenter doubling as a technology museum? I’m sure we all have floppy disks, tapes or removable disks that still have data on them, but you’ll never know if that data is any good because, well, there’s nothing left to read them with.
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Last week’s announcement dovetails perfectly with my current series on data archiving, although the Hitachi Content Platform (HCP) team may not appreciate my angle based on all their accomplishments with HCP product that go above and beyond just archiving. Be that as it may, I can’t ignore an important feature of the new release of HCP, for me anyway. I have a passion for efficiency, especially when it comes to power and environmental efficiencies. Overall, the new release of the Hitachi Content Platform has increased its dominant foothold in the object store and cloud arena, with a richer set of enhancements and features designed to provide a world-class platform for managing the massive scale-out requirements of today’s explosive data growth.
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Firstly, it has been quite a while since I’ve last posted. A lot has happened between the beginning of the year and today. In fact it has been so action packed, the past 100 days seem more like 365. While I cannot spill the beans on everything, my colleague Ken Wood and I are super excited to communicate to you about the new Hitachi Content Platform (HCP) and the Hitachi Data Ingestor (HDI) developments.
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I’d like to start a series of blogs on digital archiving over the next few weeks—primarily, I’ll be making some statements and asking questions. In this first installment, I want to know what is your archive type? Over the past year, I have been talking with customers and have come to a simple set of conclusions: there are primarily two types of archivers… Read More »
Other than being an allusion to J. R. R. Tolkien’s The Hobbit, there is real meaning in the title of this post, which I’ll get to towards the end. What I want to start with is a look back into the past and talk about, of all things, math co-processors.
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Per my previous post, I wanted to provide more concrete examples from the storage world related to the sedimentary hypothesis.
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I’ve mentioned the sedimentary hypothesis of technology in a few tweets already, and now I wanted to take the time to explain this concept in more detail. Before I get into explaining the hypothesis, let me provide a warm-up in the form of a definition of the process for forming organic sedimentary rock.
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As I have mentioned before, there is more to the Big Data story than Data Warehousing. Let me conclude first and back my way into the “why”.
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Amy Hodler’s post a few weeks ago on the Cloud Blog inspired me to share some of my own geek related book buys from 2011. They are as follows (in my preferred ranking).
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I find the IT community seems to be in a state of confusion between the two—now mind you I think that some people get it and can easily discriminate between the two. Commercial off the Shelf (COTS) offerings are just that. A more formal definition of COTS from Wikipedia follows:
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