Currently Browsing: IBM

Meet up with Ciber’s Analytics Thought Leaders at IBM’s IOD 2013

Do you have questions today that traditional reporting and analytics can’t answer? Is there other unstructured, social media or streaming data that you can’t process or analyze but you know can give you additional clarity or predictability to answer questions you were unable to answer before? You may have a big data challenge. More importantly, you have a greater opportunity to make an impact by...

Big Analog Data™ – The Oldest, Fastest, and Biggest Big Data

In my role at Ciber, I have had the opportunity to talk with industry leaders who are making a difference in helping companies understand how to gain business value from their data.  In the area of Big Data, one of those thought leaders is Dr. Tom Bradicich, Fellow at National Instruments, a Ciber strategic alliance partner.  Next week, at NIWeek, National Instruments’ global conference in Austin, Texas, we will...

Is Flash Storage Misunderstood?

A recent Wikibon article caught my attention called “Flash and Hyperscale – Changing Database and System Design Forever”  because it echoes what I’ve been hearing lately about Flash Storage. (For those of you not familiar with Wikibon, it is an online, professional community that features some insightful, moderated sessions and short research notes on challenging business technology problems.) In exploring...

Lessons in Cloud Integration: The More Things Change…

…the more they stay the same. That’s what it feels like to me these days, watching the evolution of enterprise computing. I had the chance to describe today’s hybrid headaches and cloud complexities caused by the computing evolution in a recent webinar called “Breakthrough Thinking in Cloud Integration”.  In our on-demand webinar, my colleague Bryan Flanagan  describes the speed and simplicity of the IBM...

Big Data Storage: Closing the Performance Gap

More and more, IT organizations are enjoying the benefits of superfast processors and massive bandwidths to process the volume, variety, and velocity of big data.  But wait times still choke the flow of all that big data – hampering the promise of rapid data-driven decision making for the lines of business who are crying for it.  The big (data) question is… where’s the bottleneck? The answer is in the...
Powered by WordPress