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Your Own Nate Silver
Flash Poll  
5/21/2013   Post a comment
Nate Silver is big data and analytic's darling poster boy. What chances do businesses have of finding someone with his ability to model and accurately predict events?
Best Ways to Evaluate Potential Big Data Vendors
Flash Poll  
4/23/2013   1 comment
Big data decisions can easily be swamped by information overload, with word of mouth, vendor advertisements, in-depth articles, and more all vying for your attention. In can be difficult to cut through the noise and make the decisions that will work best for your company.
Picking a Big Data Solution Supplier
Flash Poll  
4/8/2013   2 comments
Picking a supplier is an exciting prospect that can quickly become daunting. In the world of big data, we want to find out how easy it is for you to choose the suppliers you will be relying on to make your business shine. Is it normally a clear-cut choice or a difficult decision?
Fighting the Silos
Flash Poll  
3/20/2013   1 comment
Big data technology is one thing, but it won't be much use unless your company culture allows this technology access to all of your data. That means getting data out of individual silos and examining it holistically.
Big Data's Most Famous Headline
Flash Poll  
3/11/2013   2 comments
When Target's big data analytics system identified a teen was pregnant before her father could, it generated international press and quickly became the go-to story when explaining what big data could do.
Unified Data Solutions
Flash Poll  
2/19/2013   Post a comment
Unified data solutions offer a single, central IT solution to storing and analysing data. How would this benefit the enterprise most?
Sharing Your Health Data
Flash Poll  
2/1/2013   2 comments
The more data medical researchers have, the better their chances of finding new treatments and cures. But would you be happy if they were using your medical data for insight?
The Data Scientist Shortage
Flash Poll  
1/23/2013   4 comments
To cut through the hype surrounding a data scientist shortage, we asked the Republic where they see their next generation of data talent coming from.
Big Data 2013 Projections
Flash Poll  
12/17/2012   Post a comment
As we step over into another year, it's time to take stock of your enterprise's journey into leveraging big data. With that in mind, we’re looking at where the enterprises see themselves on the big data progression path in 2013.




Latest Blogs
The insurance industry is struggling to get the most out of big data, according to a recent survey from Celent. They should be doing better.
Policies need to catch up with data, so we can focus on positive developments.
When leveraged appropriately, social data has become a powerful tool when combined with traditional data, enabling businesses to tailor efforts better than ever before.
Big data means that email marketers can generate many more leads, but what really matters is using big data to get the right leads for clients.
Companies are best positioned for big data insight if they first make sure their networks are robust for day to day use.
BDR Jargon Buster
Pig
Pig is a scripting interface to Hadoop, meaning a lack of MapReduce programming experience won't hold you back. It's also known for being able to process a large variety of different data types.
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Date: 4/25/2013
At this one-hour webinar, you’ll learn: • Best-practices for integrating your data into one manageable and results-oriented store • What different types of data (log files, sensors, video, images) will be needed from your storage and query capabilities • Approaches to convincing the wider business that data needs to come out of its silos and be unified for maximum use
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Data Visualization Showcase
Survey results show bigger companies still confident in spite of massive IT overhaul requirements.
Explore this data here.
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Data security is precious enough when it's sitting in your office, so what's the best way to maintain security standards once you migrate to the cloud?
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Big Data Explained: What Is ETL?
OK, so it's Extract, Transform and Load - but we'll show you what it really means.
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