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Data science management and the post, lever, and balance method
Scope, time, and people are the interwoven dimensions that comprise any project, program, or strategic outcome.
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Big data? Great - so long as you get the analysis right
Finance professionals believe in big data but are seriously concerned about inaccuracies in current data analytics.
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The big data challenge: Extracting actual business value
You've got the tools and the power of the cloud to capture big data, but figuring out what you want from it and how to extract it is the final, crucial challenge.
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Supercomputer aims at archaeology, engineering and health projects
Researchers have just powered up one of the UK's most powerful supercomputers - and they're going to keep it very busy.
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Malcovery Security: The company spammers and phishers hate
When a start-up company helps take down several major online spam and phish operations, it's time to look at what they are doing right.
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The $64,000 Question and what it means for big data
How do you achieve a proper balance between business case-driven results and pure data experimentation which yields actionable information?
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Leadership requires that you don't get caught in thoughtless execution
There's more value in defining a problem that there is in solving it. Make sure your big data team is asking the right question before it starts developing an answer.
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How the cloud fits into the big data technology stack
Nick Hardiman peers into the technology stack that makes big data work.
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Develop a Big Data reporting strategy for all users
Once the analytics have been run against raw data, there have to be effective reporting mechanisms that give users actionable information.
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10 successful big data sandbox strategies
Keep in mind these ten strategies when building and managing big data test environments.