Unified management tooling is important for low lifecycle cost of ownership and high administrator productivity. Appliances are workload-optimized systems, but they still require human administrators to oversee a wide range of workload management and other optimization, troubleshooting and
An appliance is a fit-for-purpose, repeatable node within your broader big-data architecture. Many appliances will be optimized to support various mixes of big-data workloads, while others will be entirely specialized to a particular function that they perform with lightning speed and elastic
Big data is evolving into a cloud ecosystem. For example, it’s clear that Hadoop has already proven its core role in the big data ecosystem: as a petabyte-scalable staging, transformation, pre-processing and refinery cloud for unstructured content and embedded execution of advanced analytics.
Big data is, fundamentally, a cloud-computing approach to advanced analytics and data management. The images that come to mind when somebody says “cloud computing” are a) increasingly sprawling server farms and b) increasingly huge server racks arranged in endless rows within these farms. These “
"Value" is the key word in several of my top picks this week. From saving money to saving lives to saving time in who you follow on Twitter, we're still finding new ways to get value from data.
“What Executives Don’t Understand About Big Data,” by Michael Schrage, Harvard Business Review HBR Blog
"Next best action” is a hot focus area under big data, advanced analytics, digital marketing, smarter commerce and other business imperatives. Enterprises have been doing next best action, in various forms, for years. Many companies continue to scale up and build out their next-best-action
For the past 2 months, a LinkedIn discussion group has been debating the burning question "Do You Need a PhD to Analyze Big Data?" Always itching for fresh chat, yours truly has stepped into the fray with a humble opinion or two. And I got flamed in no uncertain words. In fact, one PhD who didn't
Have you wondered to yourself – or asked out loud – “What is big data?” Chances are pretty high you have, and if so, you are certainly far from being alone. If you do a Google search, you’ll get a list of more than 675 million results for the phrase “What is big data?” To us, that alone is “big
Emilie Werr, VP & Head of Enterprise Architecture for NYSE Euronext discusses the benefits seen from their new IBM Netezza data warehouse appliance. Some of these key benefits include: the ability to support their large data footprint (up to 4TB a day), giving users the ability to connect
Nucelus Research found that organizations can earn an incremental ROI of 241 percent by using Big Data capabilities to examine large and complex data sets. One driver of high returns on Big Data was the ability to improve business processes and decisions by increasing the types of data that can be
By using your data, you can "humanize" your conversations with customers, regardless of which channel they use to interact with your organization. Find out how IBM Watson's architecture may serve as a model for more intelligent engagement.
Smarter business is a game of incremental improvements. It depends on your ability to produce a steady stream of innovations in your operational processes.
Incremental tweaking is not usually a glamorous activity. Minute process adjustments don't usually call attention to themselves. And that's a
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. Clearly, I was focused on the "big" side of big data, and on the "statistics" DNA of the analytics that power big data, and on the limits of what you can in fact "optimize" with big data and analytics