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Interesting articles we found on the Web focus on data mashups, streaming analytics, predictive modeling, and securing Hadoop.
Learning the right terminology is important. Two articles draw distinctions: one between data management and data governance, the other between cloud and data virtualization. Finally, five ways your enterprise can use big data to grow your business.
When predictive models add value, why predicting buyer behavior is so tricky, and how to protect the 98 percent of your data hackers can use to get to the most valuable 2 percent.
Data modeling isn't just about getting the right results; it's important to know when your model has "expired." Plus using log data as a security weapon and a look at disaster recovery techniques.
If non-technical people don't grasp why good data management is important, argues Linda Powell, chief data officer with the Consumer Financial Protection Bureau, IT people and data management practitioners have only themselves to blame.
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