Information On Demand
December 5, 2013
In the big data scheme of things, you can talk about the "3 Vs," the "4 Vs," or as many "Vs" as your fevered imagination can spin out. The "3 Vs" point to the "big" dimension of the big data phenomenon, but when you shift the focus from "big" data to "all" data, the fourth V becomes a cleaner fit. Specifically, bringing veracity into the discussion can help you to incorporate an overlapping database paradigm, NoSQL, into the larger perspective. That's because veracity is akin to one of the defining features of NoSQL: the notion of "eventual consistency."
November 4, 2013
This week at IBM’s Information On Demand conference, IBM announced a solution for one of the largest concerns in big data today: Data security and privacy. InfoSphere Data Privacy for Hadoop is the f
August 19, 2013
As summer winds down, we’re drawing closer to Information On Demand. The conference runs Nov 3-7 in Las Vegas this year.
November 2, 2012
With the large Information On Demand conference (IOD) in the not-so-distant past, we are back on the regular beat, bringing you a weekly roundup of interesting, newsworthy and fun tidbits on big data-related topics. This post includes a few highlights from IOD - more to come next week.
November 4, 2011
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.
November 1, 2011
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. These executives are leading some of the biggest brands in the world.
October 26, 2011
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?
October 25, 2011
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-performance for different workloads and creates the agility business users crave.
October 25, 2011
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.
October 24, 2011
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 – flexibly, simply and without requiring that our customers overhaul their data center infrastructures.