by David Merrill on Jun 18, 2013
In the past 2 months, I have been involved with several big data conferences and speaking opportunities with customers and analysts from all over the world. I see some clear and actionable economic conditions around big data projects that are consistent with actual customer work that I have been involved with over the last 2-3 years. In short, the costs required to build out new big data infrastructures are: Read More »
Two weeks ago I spoke at a CIO forum in Australia, sharing the stage with IDC on the topic of trends and directions with big data. Last week, same topic but in Thailand. Next week, same topic but in London.
I am working in ASEAN for a few weeks, and have been on a speaking circuit with our partners AC3 and Frontline. Just to prove that work can be enjoyable, I have attached a couple of pictures from a speaking event in Sydney Harbor (see the opera house in the background) and from the tallest building in the southern hemisphere, the Eureka Tower in Melbourne. The venue, food and the customer interactions were all excellent!
Most of us have bought a car before and sometimes we have an older vehicle to trade in. I have always been disappointed in the trade-in value of my older car, but realize that cars depreciate rather quickly. If the car is running and reasonably driveable, you will get something for the trade-in. I tend to keep cars a long time (7-8 years), so my residual value (RV) or “trade-in value” tends to be low. I like to sweat my assets.
A few months ago I wrote a 4-part blog series on the cost of data protection. One of those entries discussed an approach to calculate the annual loss expectancy (ALE) related to risk, and the cost of risks. I had a program several years ago that helps calculate the probability of 19 of the most common threats, but failed to include the probability rate in listing those 19 elements.
Over the last few years, it has become increasingly important to create storage service catalogs in order to align business requirements to technical storage architectures. Many organizations shy away from developing catalogs for a variety of reasons, one of them being the perceived complexity to create them. Many also tend to think that defining different tiers of storage is difficult, in that predicting exact or perfect classes of service has to be an exact science. People often ask me if there are best practices or published standards on these storage tiers, so that they can be used in a formal or informal catalog.
I have been asked to develop a paper (more like a book) on the topic of chargeback. Since chargeback involves money, colleagues automatically assume that this is a job for the “Chief Economist” at HDS. I have had a lot of experience with charge-back schemes, though this is not a core skill that I can add to my LinkedIn page.
Today marks my 7 year anniversary of blogging for HDS, with most of the emphasis on the economics of storage, hypervisors, converged infrastructures and cloud. My very first entry on April 4, 2006, summarizes the genesis of my material, research and learning journey that has been storage economics. As I look back on the macro and micro-economic changes that have occurred over this period of time, there are a couple of principles and concepts that have not changed too much: Read More »