by Frank Wilkinson on November 15, 2011
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Last week HDS held its inaugural Influencer Summit in San Jose, California. It was a very big deal for our company, not to mention our invited guests, who by all accounts were about to get the one, two punch! (In a good way).
by Cameron Bahar on October 31, 2011
Last week, HDS unveiled its roadmap for the Information Cloud and stated that it is based on technology obtained through the acquisition of ParaScale in August 2010. In this blog post, I will explain how the ParaScale platform will serve as a foundation and enabler for the Information Cloud.
by Frank Wilkinson on October 19, 2011
There have been many articles, opinions and positions written about the big data phenomenon in the past year, and if you were not confused before, you may be trying to decipher its impact to your organization and your business. There is no doubt about what big data implies, and its affect in business and beyond the data center. It is an important milestone as we enter the next phase of the IT technology era, as we look to not only the data created by business applications, databases, machine generated data, email and file data, but social media generated data and business productivity tools (such as business social media applications).
by Cameron Bahar on September 29, 2011
These are exciting times.
I joined HDS through the acquisition of ParaScale, a startup I founded to focus on solving what the industry is now calling the Big Data problem. When I visit customers, I notice a growing percentage are faced with a very challenging data problem. The data in its original form is unstructured as expected, but it’s not your typical “human generated data”. Human generated data is what I refer to as file based data such as documents, spreadsheets, presentations, medical records, or block based data such as transactions, customer records, sales and financials records that are usually stored in relational databases. These traditional data sets are adequately served with high performance SAN/NAS systems, which have excellent random I/O characteristics and can handle massive amounts of structured and unstructured content.
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by Robert Primmer on September 27, 2011
I’ve worked on three commercial object stores: Centera, Atmos, and now HCP (Hitachi Content Platform). In that time, I’ve seen numerous misunderstandings about this particular brand of storage technology–not just in how they function, but even more fundamentally, on where, when and why such a system would be employed. In a new blog series starting today, I hope to answer these questions.
by Frank Wilkinson on September 26, 2011
This is my first official blog with Hitachi Data Systems. I started with HDS on of all days, Valentines Day 2011! This reminded me of what I love: of course my wife and children, but also what I have chosen as a career. I mean, who can’t get excited everyday when you have the unique opportunity to try and make the world (or at least technology) a better place?
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by Robert Primmer on September 23, 2011
Hello, and welcome to the Data Content Blog.
On this blog we will focus on the area of data storage commonly referred to as “unstructured data.” We have all seen the industry charts that show the growth of unstructured data to be dramatic, growing to exabytes by 2015. The storage systems designed for this class of data are evolving to meet the challenges associated with trying to manage and keep track of such massive amounts of data.
Perhaps the most important distinction is that these systems are really software applications that use storage, but aren’t intrinsic to the storage subsystem. As a software solution, the storage application itself can perform functions particular to the data content as there’s a greater knowledge of the nature of the customer data than is possible in a pure disk storage subsystem. This increased knowledge allows for a greater set of actions to be taken based upon the data content, rather than on more generic qualities such as disk segment boundaries. A simple example is the ability for an application or storage administrator to select which specific objects or files it would like to have replicated, when and where. A more complex example involves performing arbitrarily complex analytics on the data that effectively transforms data to information.
Data Content Blog
