While the issue of provisioning ever-increasing volumes of storage is nothing new, the arrival of big data is forcing IT organizations and businesses to think differently—and to think about data as a big picture, rather than simply bits and bytes.
In this paper, Mark Peters of ESG discusses how the
The future of big data?
Hybrid data architectures have been hailed as “the future of big data.” But what exactly is a hybrid data architecture and how would your organization best make use of one? What makes it better than current systems? What are some of the challenges involved in deploying a
"Don't we already have a data warehouse solution?"
"Is big data even relevant to our organization?"
"Why do we need it?"
"Isn't big data costly and hard to implement?"
There is an obvious disconnect between the C-Suite and big data initiatives. Given today’s competitive market it’s hard to
This episode features two experts with very different perspectives talking about the intersection of big data, analytics and the databases that make it all possible. IBM Champion David Birmingham is a Senior Principal with Brightlight Consulting. He has more than 25 years of experience in very –
This is the second in a series presenting the findings from the IBM Institute for Business Value and University of Oxford’s Big Data study and excerpts from the white paper, “Analytics: the real world use of big data in financial services.”
When asked to rank their top three objectives for big data
Since big data is still relatively new technology, many of you are conducting research and seeking quality educational resources. That's apparent in this list of the 10 most popular analyst reports, ebooks and white papers. We are proud to offer such an extensive library - more than 40 items - from
Data management has undergone significant change ever since the introduction of online transaction processing systems (OLTP) some 50 years ago. The level of change during this period, however, has not been uniform. There have been times when data management technologies and products became
The top 10 blogs from the first half of 2013 show you are interested in learning how to get started with big data – especially if you’re in the banking industry – and looking at just what it is that gives a data scientist that elusive star power. It’s also clear that good blog posts have long legs
The big data landscape for most enterprises is a vast wilderness. It is a growing and complex ecosystem of different data types from multiple sources, including new data from social media and raw data collected from sources like sensors. Only after effectively exploring and navigating this terrain
Data science is a human craft, demanding just as much nuanced judgment and intuitive technique as you’d expect from any skilled artisan.
One of the downsides of using the word “science” in this context is that people think that statistical analysis is just some sort of cut-and-dried laboratory
Here’s a big data problem for you. Let’s say you’ve accidentally traveled back in time 30 years and the only way to get Back to the Future is to transfer 1.21 Gigawatts of energy into a beat-up DeLorean.
Well, back in 1985, the solution, by Hollywood standards of course, was the
The journey that a customer takes with your company is an individual one. Each customer requires a customized map with a guide who understands exactly where he wants to go—ensuring a smooth experience along the way. Can your company provide every customer with his own personal guide? And can your
This is a research report by noted industry analysts Claudia Imhoff, Intelligent Solutions, Inc., and Colin White, BI Research. IT leaders need to review and enhance their information architecture to support requirements fueled by big data, advanced BI and other innovations. Examine the What, the
This first posting of a seven-part blog series is my attempt to present, in small, easily consumable bites, findings from IBM Institute for Business Value and University of Oxford’s study and excerpts from a white paper, “Analytics: the real world use of big data in financial services.”