Data Digest: Prepping Big Data, Storytelling Data Scientists, and Making Sense of Big Data
Changing your approach to data preparation, plus why the best data scientists tell stories and 8 basic tips for getting the most from big data.
Solving the Prep Problem in Big Data
Up to 90 percent of a BI professional’s work ends up being data preparation. This has not always been the case, but due to the paradigm of “collect data first, ask questions later,” most data is thrown into a data lake without any thought. This article offers advice on shifting this paradigm to a more efficient method by suggesting changing the approach to data preparation.
Data Scientists Need to Be Storytellers
(Source: Harvard Business Review)
Data is made up of simple facts that anyone can collect. Coming to a conclusion based on data and being able to present that conclusion in a logical way is something only few can do. This article argues that the best data scientists tell stories from data and are good communicators first and foremost.
Making Sense of Big Data
The possibilities big data provides are staggering; so much so that it is hard to figure out where to start when analyzing it. This article offers eight basic tips for getting the most useful information out of big data.
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Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.