A road trip to the Kimberley region confirms the wisdom of selecting optimized systems for specialized workloads. Outback Australia is tough country, and the locals drive vehicles specifically designed and built for this terrain - predominantly Mitsubishis, Nissans and Toyotas. Off-road driving’s
In this video, Christine Twiford, T-Mobile's Manager of Network Technology Solutions, explains how and why T-Mobile replaced a 40 terabyte (TB) Oracle data warehouse with an IBM Netezza appliance. She discusses the various business units served by the IBM Netezza appliance today and the evolution
After being fed up with the performance of their previous system, iBasis chose to move to an IBM Netezza Data Warehouse Appliance. In this video, Mark Saponar, VP of Information Systems at iBasis, discusses how IBM Netezza has shown them a completely different approach to information.
In this post, I will explore the most important of the golden rules of appliances - appliances are easy to use. For my discussions of the first two rules, see my previous posts appliances are Plug and Play and appliances are purpose-built.
Last week I was in Bucharest and Ljubljana, but before I headed to the airport on Monday I recorded a webinar – doubtless I’ll be blowing my own brass section about how and when you can watch it, when I know that. Usually for webinars, as for other presentations, I have my own slide deck, which is
I’ve been working through my golden rules of appliances in my previous posts, and evaluating various vendor’s appliance claims as we go.
Appliances are Plug and Play
Appliances are purpose-built
Appliances are easy to use
In my previous post, I defined a framework by which to evaluate the appliance claims of data warehouse and analytic vendors. These truisms, which I have come to refer to as the golden rules of appliances are:
Still NOT Positioned For Analytics
Oracle’s Big Data Appliance, originally announced in October 2011, is now officially for sale and includes the Cloudera distribution of Hadoop. Despite the inclusion of Cloudera, Oracle's position on Hadoop remains fundamentally different than IBM. IBM embraces