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.
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 first solution in the market to offer a full set of capabilities designed to protect sensitive
As summer winds down, we’re drawing closer to Information On Demand. The conference runs Nov 3-7 in Las Vegas this year. Once again, big data and analytics will be quite the hot topic, with a plethora of sessions and opportunities to learn where big data is headed and how you can sharpen your
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.
Steve Mills, senior vice president & group executive, IBM Software & Systems Group, discusses big data and analytics with press and analysts at the Information On Demand 2012 conference.
During the conference IBM announced a new digital marketing system and big data software designed to
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.
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.
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-
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
With all the preparations complete and the presentations, meetings and events all scheduled there’s finally a chance to reflect. So I thought I would provide some thoughts from 35,000 feet, while winging my way to the IBM Information On Demand 2011 show in Vegas.
At a recent conference I heard a presenter suggest "If your company isn’t embracing data, you risk joining the walking dead". While this sounds alarmist, IBM’s 2010 CFO Study confirms leveraging business analytics as a strategy is sounder than ignoring value buried in data: organizations embracing