NOVEMBER 26, 2012
Enabling Self-Service Access and Exploration of Big Data...  
Dec. 11 @ 4 ET
Live Webcast


As the information landscape expands with all kinds of Big Data, businesses are searching for ways to unite their traditional analytics with this new source of insight. One ambitious approach involves federating access to multiple data sources, even across various operating systems. The idea is to take analytic processing to the data, then intelligently assemble the results for a business user. 

Could this be the long-awaited alternative to data virtualization? Register for this episode of The Briefing Room to hear veteran Analyst Robin Bloor explain how federated access to data sources can pave the way for a truly integrated data fabric.  

Three Keys for Making Big Data User-Friendly 
Nov. 27 @ 4 ET
Live Webcast


What's the biggest challenge with Big Data so far? By and large, it's the big pain in delivering the right data in a timely fashion, and in a way that decision-makers can easily use. That's quickly changing because of the tremendous demand for tools that even non-technical business users can effectively employ. Capabilities are being designed by software vendors large and small, to provide easier access and more intuitive ways for working with Big Data. Even still, the effort to make Big Data useful is very much a work in progress. Register for this episode of The Briefing Room to hear veteran Analyst John Myers of EMA explain why Big Data poses challenges and opportunities for professionals looking to better understand their markets, prospects and customers.  

Adrian Bridgwater
Open Source Mobile Touch-Based Social Chinese Clouds
by Adrian Bridgwater

 

 

 

If you had to pick a winning news, feature or blog headline to garner maximum reader interest and the widest potential industry relevance these days then how about trying... Open Source Mobile Touch-Based Social Chinese Clouds.

 

Of the eight words in this banner, we can probably say that seven of them (excluding perhaps 'based') encapsulate the bleeding and leading edge of the IT industry at this moment in time.

 
NoSQL, Big Data and Graphs: Technology Choices for Today's Mission Critical Applications

 

It used to be that databases were just tasked with digitizing forms and automating business processes. The data was often tabular - take an accounting ledger, for example -and the processes being modeled were reasonably static. Today, the types of data that we are interested in are much more diverse and dynamic. We are interested in capturing information about all sorts of things that are happening around us, which requires us to deal with dynamic systems that often generate large quantities of data that are semi-structured and volatile, where the connections between the discrete data points are as important as the sum of its distinct parts. 

 

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