Gartner Blog Network

Category: 'skills' Blog Posts

from the Gartner Blog Network

BYO Big Data Quality

by Svetlana Sicular  |  May 16, 2014

In the absence of best practices for big data quality, individual companies are coming up with their own solutions. Of course, these organizations first have problems.  Let's look at the...

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Гений толпы

by Svetlana Sicular  |  February 5, 2014

If Russian is Greek to you, use translation tools such as Google Translate or — they will express the gist of my text. But if you want nuances, crowdsourced...

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California Legislature Begets Data Scientists

by Svetlana Sicular  |  March 4, 2013

The most re-tweeted phrase at the SAS analyst conference (#sassb) today is "A data scientist is a business analyst that lives in California." Every joke has a bit of truth...

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The Sex Appeal of Math to Data Science

by Svetlana Sicular  |  December 18, 2012

  “Data scientist is the sexiest job of the 21st century” (Harvard Business Review) “Cybernetics is a whore of imperialism” (Stalin, 20th century) I cannot quite catch an association between these two...

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The #GartnerCat's Pajamas

by Svetlana Sicular  |  August 28, 2012

“Imagine a revolution from 80-character punch cards to 140-character tweets,” —  this Jack Santos punch line has been tweeted and re-tweeted on Day 1 of the Gartner Catalyst conference (#GartnerCat)...

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Cassandra for Greeks or for Geeks?

by Svetlana Sicular  |  August 11, 2012

Technology robs words of their intrinsic meaning: what happened to “like” and “friend”? Is it true that Facebook patented “face”? What is “oracle”? Who is Cassandra — a NoSQL database...

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Haute Couture of Big Data

by Svetlana Sicular  |  July 19, 2012

Big data haute couture roughly illustrates the state of the market. The question is: does a big data market exist? "Good morning I'm the global waiter at IT infrastructure solutions...

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Data Scientist – Mystified

by Svetlana Sicular  |  June 29, 2012

Companies are desperately seeking mysterious creatures — data scientists. Some people claim to have seen them in LinkedIn and Target. Perhaps, those were encounters with data scientists from LinkedIn that...

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