Archive for June, 2011
So what’s your X, Y, Z year plan?
Posted in Innovation on Jun 17, 2011 No Comments »
Recently there has been some media attention about a roadmap and our X, Y, and Z year plans. Along with this, it is also expected that there would be some speculation on the health of certain product lines. Let me assure you, the Hitachi VSP and AMS lines are still alive, kicking and quite healthy [...]
HDS Blog Comment Policy
Posted in Best Practices, Tech Talk on Jun 16, 2011 1 Comment »
We recently issued our Blog Comment Policy and I thought it worthwhile to mention it here and also share a few thoughts and highlights from the policy.
Hitachi and Quality: An Overview
Posted in Customer Focus on Jun 15, 2011 No Comments »
The Hitachi companies are passionately committed to quality, which is an important goal based on the company philosophy of long term excellence. Products that Hitachi Data Systems sell go through rigorous design, testing, and manufacturing processes to ensure quality,reliability, interoperability, and performance. In fact, engineers that participate throughout the entire product lifecycle are very proud [...]
This is what converged AND open looks like
Posted in Storage Solutions on Jun 14, 2011 2 Comments »
Today we announced a new set of converged data center solutions. Convergence is one of latest hot words given the industry movement recently. What’s unique about HDS converged solutions, you might ask? They’re combinations of enterprise class storage and compute from Hitachi, combined with industry standard networks, and management software that are optimized for one [...]
What the Hitachi/VMware Partnership Means
Posted in Virtualization on Jun 9, 2011 No Comments »
Today’s announcement between Hitachi and VMware shows an expansion of our mutual collaboration in the Asian marketplace. This approach was taken for several reasons:
Big Data Is About Turning Content Into Appreciating Assets
Posted in Big Data on Jun 7, 2011 2 Comments »
I was inspired by Doug Henschen’s article in InformationWeek on Big Data in which he hypothesizes that Big Data is bigger than data warehousing. More specifically, he explores whether the data warehousing concept of ETL is also an important facet of Big Data.


