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Becoming a Data Scientist Isn’t Exactly Easy

By   /  October 17, 2012  /  Big Data News, Articles, & Education, Data Daily | Data News, Data Education, Data Governance & Data Quality | News & Articles, Enterprise Information Management  /  No Comments

by Angela Guess Joseph Misiti recently responded to a GigaOM article that insists Becoming a Data Scientist Might Be Easier Than You Think. He writes, “You can take the ML course on Coursera and you’re magically a data scientist, because three really intelligent people did it. I disagree. I’m not claiming the people referenced in […]

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Semantic Tech Development: The European Edge

By   /  October 4, 2012  /  Big Data News, Articles, & Education, Data Education, Enterprise Information Management, Smart Data News, Articles, & Education  /  No Comments

A blogger from the IKS Project recently wrote a response to our own Jennifer Zaino’s article, “On What Shores Will Semantic Tech Be Better Commercialized?”

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Standing Up for NoSQL

By   /  July 26, 2011  /  Data Daily | Data News, Data Education, Database News, Articles, & Education  /  No Comments

by Angela Guess Jeremy Zawodny wrote a passionate response to a recent article, NoSQL is a Premature Optimization. Zawodny starts his argument by quoting the article: “I would argue that starting with NoSQL because you think you might someday have enough traffic and scale to warrant it is a premature optimization, and as such, should […]

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In Defense of Dr. Stonebraker and NoSQL

By   /  July 25, 2011  /  Data Daily | Data News, Data Education, Database News, Articles, & Education  /  No Comments

by Angela Guess Derrick Harris recently followed up on a post he wrote a few weeks back regarding an interview he had with Michael Stonebraker, a keynote speaker at the upcoming NoSQL Now! Conference. Harris recaps that the gist of the post “was that legacy SQL databases, including MySQL, are relics and no longer relevant […]

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How Would You Improve Data.gov?

By   /  April 8, 2011  /  Uncategorized  /  No Comments

Nerd Collider has issued a challenge to the public: “What would you change about Data.gov to get more people to care?”

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