IBM Netezza Blog

Re-Thinking your Data Warehouse Architecture for Big Data? Think Smart Consolidation

November 17, 2011 | by Nancy Kopp, Director, Marketing, Database Software & Systems, IBM
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...

Big Data was The Big Topic at IOD

November 10, 2011 | by Dai Clegg, VP product marketing, Acunu
This year was my first IOD. I hope it won’t be the last because it was a really good conference. These big shows are always difficult, despite the mobile apps, the maps, the schedules, the signage and many helpful show guides. I still have difficulty getting to the sessions I want to see or being...

Taking Stock - Integrating Netezza with IBM's Product Portfolio

November 4, 2011 | by Mike Kearney, Sr. Product Marketing Director
A slew of announcements made during last week’s IOD conference assert IBM’s R&D machine is running in top gear. Here’s my take on progress integrating Netezza with IBM’s broad product portfolio and how this engineering further simplifies our customers’ warehousing and analytics projects.

A New Wave of Women in High Tech

November 1, 2011 | by Patricia Cotter, Senior VP of Operations
Women are moving up in high tech. Ginni Rometty's appointment as the next CEO of IBM is the latest example of this. She joins women like Meg Whitman at Hewlett Packard, Ursula Burns at Xerox since 2009, and Indra Nooyi who has led Pepsico since 2006.  These aren't just women leading companies....

Architecting Big Data Solutions: Part I Hadoop and IBM Netezza

October 31, 2011 | by Krishnan Parasuraman, CTO, Digital Media and General Business, Netezza, an IBM Company
Big Data is increasingly becoming a part of the enterprise IT vernacular and we are seeing it rapidly move through the hype cycle as a viable value creation opportunity for enterprises. In a recent report, McKinsey estimated this value to be in the order of billions of dollars and deemed it the "...

Understanding the differences between IBM Netezza data warehouse appliances and the IBM Smart Analytic System

October 31, 2011 | by Dai Clegg, VP product marketing, Acunu
It’s a question that came up in Ray Tacoma and Phil Francisco’s Q&A session at IOD and it’s a question I’ve answered at the IBM Netezza booth in the exhibition.  Smart Consolidation demands an answer, just as every workload optimized platform in the Smart Consolidation portfolio needs to be...

IBM Netezza Analytics - The 30 Second Explanation

October 26, 2011 | by Matt Carter, Social Media Strategy Lead - Information Management, IBM
For many, IBM Netezza Analytics is a bit of a mystery.  Is it a product?  Is it a component? How do I get it?  What can it do for me?  What does it cost? The good news: IBM Netezza Analytics comes pre-loaded on every single IBM Netezza data warehouse appliance and doesn’t require additional...

Answering the important questions, faster: Cognos Business Intelligence and IBM Netezza

October 26, 2011 | by Robert Frankus, Executive Solutions Architect - Predictive Analytics, Content Analytics & Smart Analytics, IBM
IBM Cognos Business intelligence helps organizations answer three questions: 1.    How are we doing against plan? 2.    Why are we on/off target? 3.    What should we be doing next?

InfoSphere Streams and the IBM Netezza Data Warehouse Appliance

October 25, 2011 | by Dai Clegg, VP product marketing, Acunu
I’ve spent a fair bit of time recently learning about InfoSphere Streams and BigInsights, as I’ve been working on the Smart Consolidation story.

The “Data Bridge” for a Logical Data Warehouse

October 25, 2011 | by Razi Raziuddin, Sr. Director of Product Marketing
The pressure of more data and analytics is spurring organizations to rethink their EDW strategy.  Many have already embarked on creating a logical data warehouse, where data and analytic computation is distributed on fit-for-purpose systems.  This architecture reduces costs, offers optimal price-...