Big Data Technology
August 29, 2014
Hadoop offers a cost effective solution for landing and transforming data before feeding the data warehouse. Hadoop also offers a cost effective solution for aged data that's rolled out of the warehouse. If you're going to extract real business value from big data, then you need to embrace new data sources. Analytics are the key to making sense of big data.
August 29, 2014
The R language has become very popular with statisticians and data miners who use it to develop statistical software. But did you know that you can run R syntax from IBM SPSS Modeler and SPSS Statistics software? The combined strength of both helps address the needs of an organization that has few statistics or programming experts, but that wants to benefit from R.
August 28, 2014
Data is emerging as the world’s newest natural resource and the basis for a new kind of competitive advantage. Yet, for many organizations, the increasing volume, variety and influx of data is straining their IT infrastructures—traditional infrastructure was never designed to handle the magnitude of complexity of these new workloads. To keep up with the fast pace of today's business climate, it is essential for organizations to capitalize on next-generation infrastructure that integrates analytics-optimized systems and technologies to dynamically meet the demands of a data driven world.
August 27, 2014
The consolidated memory cloud will be the dominant architecture of the big data future. For enterprises and service providers trying to get closer to that vision, however, the migration path will not always be straightforward.
August 25, 2014
Most data that organizations capture and collect isn’t valuable. In addition, high value data is often overlooked because organizations can’t capture, analyze and act fast enough. IBM has created a solid foundation to help organizations capture all opportunities, even the ones that are fleeting, like selling more chicken dinners on a Friday night. The goal is to acquire, grow and retain customers based on real-time actionable insight.
August 25, 2014
Scientific research has become a data powerhouse, propelled forward by sequencing and imaging technologies that accumulate data at astonishing speeds. However, managing petabytes of fast data is not a challenge exclusive to the scientific community.
August 21, 2014
We certainly live in a connected world. It always amazes me when I see how smarter enterprises are using the highly interconnected, intelligent and instrumented qualities of today’s technology to make our world a better place: the way we interact changes, how we approach our day is different and what we expect is far higher than ever before. Driving this fantastic change is none other than the Internet of Things (IoT).
August 19, 2014
Timothy Llewellynn, CEO and co-founder of nViso, is this week's Big Data & Analytics Hero. He has found that utilizing the cloud for "big data is creating more opportunities for...clients" because of the massive scalability available to companies like his.
August 18, 2014
Need to sell more products? Dump Steve, the guy in the chicken suit flagging down customers in the parking lot, and adopt real-time actionable insight. IBM’s four pillar strategy (sense, orient, decide and act) will turn your big data into action. In our five-part series, we will introduce real-time actionable insight and explore each pillar in detail.
August 15, 2014
You have a lot happening in your day: a morning doctor’s appointment, a quick call into the help desk to resolve your laptop issue, an important strategy planning meeting at work, a trip to the grocery store to pick up some dinner and homework time with the kids. Ever stop and think “how do real-time analytics power my day?”