In the context of data warehousing, agility means that the system can quickly and easily adapt to and accommodate; changes in data volumes, new data sources, new subject areas, new applications and/or new users. In order for a data warehouse to be able to do this, it needs to be able to run any
2011 finished with the European leg of the 2011 Global Netezza Roadshow. We shared product updates, customer case studies and just got together with our community in Paris, London, Milan and Frankfurt. A year ago I wrote about a great restaurant in Milan that I visited when I was there for the
Big Data, all the cool kids are doing it. But the burning question remains, what do you really need to do to make Big Data a reality in your current architecture?
At IBM, we have been thinking a lot about helping our customers advance their analytic capabilities including Big Data. This
Smart Consolidation recommends running workloads on the platform best suited to the purpose, and for many of the world’s largest organizations IBM’s System z – the mainframe – is the system powering their transactional heartbeats. The newly-announced IBM DB2 Analytics Accelerator (IDAA) for z/OS
I’ve previously written how in the early part of 2011 we worked with technology and marketing leaders across IBM’s portfolio to define and launch a new strategy for data warehousing and analytics. Our objective is to meet today’s enterprise needs with agility to deal with whatever the future brings
For a while now at IBM Netezza we’ve been observing that the grail of a unified Enterprise Data Warehouse (EDW) is often not achieved. It still remains an ideal - all your data, cleansed, de-duplicated, governed, in one single place - but in reality not all organizations that attempt it, have
On Monday I wrote of our motivations to develop a new strategy: “Smart Consolidation for Smarter Computing”. Following my keynote session at Enzee Universe ’11 I’m ready to share details. The Smart Consolidation strategy simplifies infrastructure, freeing enterprises to deploy analytics rapidly