SEPTEMBER 10, 2012
Standard Issue: Preparing for the Future of Data Management
Sept. 18 @ 4 ET
Live Webcast


As change continues to sweep across the data management industry, many organizations are looking for ways to prepare their systems and personnel for an unpredictable future. Forces such as Big Data and Cloud Computing are creating new opportunities and significant challenges for a world filled with legacy systems. Information architectures are fundamentally changing, and that's good news for companies that can take advantage of recent innovations. Register for this episode of The Briefing Room to learn from veteran Analyst Robin Bloor, who will explain why the Information Oriented Architecture provides a stable roadmap for companies.

Measuring Impacts, Not Insights
Sept. 10 @ 3 ET
Live Webcast
One on One with Wayne Eckerson

 

Delivering actionable insights is a holy grail for analytical leaders, but Ken Rudin, Director of Analytics at Facebook, believes that generating insights is not enough. The goal is to change the business for the better. Tune into this Webcast to learn from Rudin and host Wayne Eckerson as they discuss how to organize, measure, and manage analysts to maximize business impact. 

A Better Way to Fuel Analytics  
Sept. 11 @ 4 ET
Live Webcast


The analytics development process involves a wide range of requirements, any one of which can prove challenging: Identifying the best sources, then securing access; then transforming, mixing, mashing and moving the data to an analytic sandbox. All this occurs before you can build the analytic models. Increasingly, innovative organizations are using data virtualization as a faster path to analytic sandboxes, thus expediting business impact. Register for this episode of The Briefing Room to learn from veteran analyst and practitioner Rick Sherman of Athena IT Solutions, who will explain how advances in data virtualization have opened up new ways of designing, building and maintaining analytic sandboxes. 

The Hadoop Loop bantleman

by John Bantleman

 

 

The current questions rippling across the Big Data and Hadoop market are: who is adopting specific Big Data technologies, what is the speed of that adoption and are their use cases.

 

No question that Hadoop and the related technology innovation is running at quite a pace and, arguably, the market is taking shape even more rapidly. Having said that, if you peel back the layers and dig a little deeper, you may find that many Hadoop projects are still "sand-pits" (nothing wrong with that). 

 

 

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EVENTS  

 

San Francisco, CA
Sept. 21

Boston, MA
Sept. 30 - Oct. 4

New York, NY
Oct. 23 - 25

The Business of Big Data
Jersey City, NJ
Nov. 1

San Diego, CA
Nov. 5 - 9

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