IBM Netezza Blog

Rethinking data management

April 3, 2012
When I hear the term inventory management industries that first spring to mind are manufacturing and retail, so I listened closely when I heard a specialist from our financial services team using the term. Banks and other finance companies must exercise tight control of their computing assets to comply with industry regulations. Given the distributed and networked configurations of modern computer systems, meeting regulatory demands can be a challenge and understanding data residing on each machine complicates this already difficult task. Read More

Appliances are easy to use

March 27, 2012
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. Read More

Business Transformational Analytics Performance, and Cat Food

March 7, 2012
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 almost always a slight variation of a previous one, but on this occasion I was using a pre-set deck because I was a late substitute for the planned speaker.  The deck, as usual, included a bunch of Netezza customer stories, including one I wasn’t familiar so I had some reading to do over the weekend to get acquainted with it.  Read More

Real Innovators driving Real Value using IBM Netezza for Big Data Analytics

March 6, 2012
Digital Media companies are more than just marketing leaders. They are marketing innovators! In fact, when I think about the marketing service providers, content publishers and gaming firms we’ve talked to or worked with over the years, it’s easy to realize that they have been doing Big Data Analytics long before there was a catch phrase or the marketing buzz that exists today.   Read More

Appliances are purpose-built

March 5, 2012
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 Read More

IBM - Another year of recognized leadership in the Gartner Magic Quadrant

February 21, 2012
Gartner has published their latest iteration of the Data Warehousing DBMS Magic Quadrant (MQ) – a report in which IBM has been in the Leader quadrant since the very first MQ issued in June 2001. Read More

Appliances are Plug and Play

February 13, 2012
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: Read More

Marketing at the Speed of Thought

February 8, 2012
I was speaking at a conference last week (Heliview BI, in Holland) and my theme, as is pretty usual now, was the place of the data warehouse in a big data strategy. I had a packed room, but I suspect, it was the title not my reputation that filled it. It went well, as it usually does. I think that’s because I pitch it from the business benefit angle and spend more time on the use cases, than the technology. Read More

Will the real appliance please stand up

February 6, 2012
The term "appliance" is liberally used by many vendors in the big data space these days. It seems that almost everyone has latched onto the term and it is being used not only to define data warehousing and analytic product offerings, but also to subtly (or not so subtly in some cases) set customer expectations about the underlying ease of deployment and ongoing cost of ownership associated with the product. Read More

Customers move to Netezza in days, not months

February 3, 2012
A number of Teradata customers have moved some or all of their data and analytic applications to IBM Netezza data warehouse appliances. The reasons these customers give for their move invariably include: Time to value Agility and the ability to grow with new workloads Reducing their cost of ongoing maintenance Improving query performance – particularly for complex analytics and ad-hoc environments as data volumes grow. Read More