During this episode, Phil Simon shares his sage advice for getting started with big data, including the importance of having a data-oriented mindset, that ambitious long-term goals should give way to more reasonable and attainable short-term objectives, and always remembering that big data is just another means toward solving business problems.
Phil Simon is a sought-after speaker and the author of five management books, most recently Too Big to Ignore: The Business Case for Big Data. A recognized technology expert, he consults companies on how to optimize their use of technology. His contributions have been featured on NBC, CNBC, ABC News, Inc. magazine, BusinessWeek, Huffington Post, Globe and Mail, Fast Company, Forbes, the New York Times, ReadWriteWeb, and many other sites.
Too Big to Ignore
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Win a Copy of the Book
Phil Simon wants to give one lucky OCDQ Radio listener a free copy of his new book Too Big to Ignore: The Business Case for Big Data.
Here is how the book contest will work:
(1) Book Contest Question — Name one of the many real-world examples of big data uses noted by Phil Simon during this podcast.
(2) Book Contest Deadline — By no later than July 31, 2013, Email Jim Harris with your answer to the book contest question.
(3) Book Contest Winner — In August 2013, one winner will be randomly selected from the emails containing a correct answer to the contest question, and Phil Simon will email the winner requesting a postal address for sending a free copy of the book.
Clicking on the link will take you to the episode’s blog post:
- Demystifying Data Science — Guest Melinda Thielbar, a Ph.D. Statistician, discusses what a data scientist does and provides a straightforward explanation of key concepts such as signal-to-noise ratio, uncertainty, experimentation, and correlation.
- Data Quality and Big Data — Guest Tom Redman (aka the “Data Doc”) discusses Data Quality and Big Data, including if data quality matters less in larger data sets, and if statistical outliers represent business insights or data quality issues.
- Saving Private Data — Recorded in December 2011, guest Daragh O Brien discusses the data privacy and data protection implications of social media, cloud computing, and big data.
- Defining Big Data — This episode of the Open MIKE Podcast, with assistance from Robert Hillard, discusses how big data refers to big complexity, not big volume, even though complex datasets tend to grow rapidly, thus making them voluminous.
- Getting to Know NoSQL — This episode of the Open MIKE Podcast discusses how NoSQL does not mean AntiSQL (i.e., NoSQL is not a Relational replacement), and that business-driven big data needs will often require “Not Only SQL.”