See below the questions. Read the answers at http://bit.ly/1edv8nZ
Question: On the Analytic Bridge and Data Science sites, there is comparatively sparse reference to ETL. Does this reflect slow migration to platforms that support big data analytics when compared to greenfield big data initiatives?
Question: Some observers believe there is a heightened potential for misleading or erroneous inference-making with Big Data. Do you agree?
Question: Where do you think we are with Big Data along the Gartner hype cycle? (Feel free to amend their construct as you see fit.)
Question: What standards – formal or de facto – are you watching most closely?
Question: Which computing disciplines which existed 5-10 years ago do you feel will be most able in the transition to today’s data science frameworks?
Question: In your interview with Sir Cox, he says, “My intrinsic feeling is that more fundamental progress is more likely to be made by very focused, relatively small scale, intensive investigations than collecting millions of bits of information on millions of people, for example. It’s possible to collect such large data now, but it depends on the quality, which may be very high or not, and if it is not, what do you do about it?” What is Cox saying to communities like the American Society for Quality and others who would like to positively influence Big Data quality?
Question: Are what Cox calls “small, carefully planned investigations” orthogonal to self-service tools like Tableau or QlikView, which can operate in a hypothesis vacuum?
Question: What changes, if any, would you like to see in the data science curriculum to improve data visualization?
Question: Those in the non-academic, media side of the data business extol the virtues of narratives and storytelling. They’re not always clear, though, about what data to use and when. How should they proceed in curating data-driven, data-annotated stories?
Question: The forums you have fostered have been around awhile now. How has the population in the forums changed over time?
Question: What trends are you watching most keenly?
Question: Do you have a few favorite software tools that you feel are indispensable?
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