"Big" is the buzzword for everything connected to data right now. Most vendors are claiming that they do some part of "Big", better than everybody else. This makes it difficult for IT, analysts, data miners, and marketers to get useful guidance on what works in the field.

I am asking the 12 short questions on the following key topics:
• How big is your data?
• How is your data stored?
• What kind of system do you use to access it?
• What reporting and analytic tools do you use?
• How satisfied are you with all of the above?
I will publish the answers for everybody on this site. Please take about 4 minutes to share your experiences.

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* 1. How much data do you regularly access for your job before you sample or reduce it?

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* 2. For the primary data that you use, how is it stored? Examples might include server farms, VMs or hybrid clouds.

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* 3. What is the primary type of computing hardware that you use to perform data manipulation and analyses? Examples might be a PC, mainframe or networked servers.

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* 4. What is the primary operating system you use for the data component of your work? Examples might be Windows 8, Hadoop or Linux.

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* 5. What is the primary tool you use to report on your data? Examples might be SQL or Tableau. Answer “NA” if you do no reporting.

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* 6. What is the primary tool you use for data mining and statistical analyses? Examples might be R, Alteryx or SAS. Answer “NA” if you do no data mining or statistical analysis.

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* 7. What is your level of satisfaction with your primary data storage technology?

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* 8. What is your level of satisfaction with your primary computing hardware?

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* 9. What is your level of satisfaction with your primary operating system?

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* 10. What is your level of satisfaction with your reporting software?

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* 11. What is your level of satisfaction with your data mining and statistical software?

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