We are honored to have had the opportunity to be invited to The Cloud Analytics Summit to produce a series of Though Leader Videos with some of the top innovators in Enterprise Big Data and Analytics.

One of the hottest trends so far this year is Big Data. What is Big Data? There are many definitions, but to most, its all that application transaction data sitting in a big database taking up storage capacity. What seems overwhelming, is actually statistics that tells the story of your company and customers. There are more and more solutions entering the market that give enterprises big and small the tools to extract meaningful information from all this data, because after all, Big Data means Big Opportunity.

Get ready for a day full of Business Intelligence and Big Data discussion with three Big Data infographics.

Tomorrow is the Cloud Analytics Summit at the Computer History Museum in Mountain View.  The theme is Capitalizing on BI & Big Data in the Cloud.  As we all know, this has been a hot topic in the news and in the office.  Having a data centric market research background myself, I am personally very interested to hear the real world examples, problems, and solutions for Business Intelligence and Big Data implementations.  The use of social and behavioral data is changing the way we define and measure ROI, and everyone gets excited about the bottom line.  Join DreamSimplicity at the Cloud Analytics Summit tomorrow to learn more about why and how people are investing in Business Intelligence and Big Data.

Boundary™, provider of monitoring solutions for big data applications has announced its web application that enables organizations to deliver continuous quality of service and enhance their operational agility. Now for the first time, DevOps teams can see even the slightest of behavior and performance changes in their distributed application environments within seconds; before they become business impacting. This all-new approach to monitoring addresses two critical challenges faced by DevOps professionals: the need to immediately see and understand the impact of a rapidly changing application together with a significantly higher degree of visibility for monitoring big data architectures.

The term 'Big Data' has become almost ubiquitous in discussions surrounding the future of data visualization and  business intelligence. Although it is used in a range of different situations, the expression has become an umbrella term to explain the steep increase in the amount, and the variety of data now produced. Whilst many recent statistics simply cover the amount of data produced, The University Of Texas recently conducted a study sponsored by Sybase to examine the the possible benefit to companies if this data could be utilized.

It’s that time of year again: Gartner is looking at the “hype cycle” for emerging technologies and trying to decide where technologies should lie in terms of their maturity. It was interesting to see that this year, Gartner is finally adding big data to the Hype Cycle.