Svetlana Sicular

A member of the Gartner Blog Network

Entries Categorized as 'Inquire Within'


The Illusions of Big Data

by Svetlana Sicular  |  July 24, 2013  |  1 Comment

I’m afraid that more data and more analytics will create an illusion of solutions while the problems still persist. Many problems are intrinsically not possible to solve. Thousands of years of philosophy testify to that.  Philosophy aside, people cannot agree on elementary things: some of us have firm reasons to vote for democrats, some of [...]

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Personal Analytics

by Svetlana Sicular  |  March 27, 2013  |  1 Comment

I always thought that if all the efforts, energy and money, spent on technology, were invested in studying humans, we would have been equally advanced through mastering our own  capabilities.  I realized just recently that maybe harnessing the incredible human potential is not a direct process, and technology is only a step of the journey [...]

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Data Revolution, Part 1: Is It a Revolution?

by Svetlana Sicular  |  February 12, 2013  |  1 Comment

Like Lilliputians from Gulliver’s Travels, divided over which end of a boiled egg to crack, modern technologists are debating whether big data is a revolution or an evolution.  Roughly 60% of the delegates at the last week’s Gartner BI Summit in Europe voted on evolution.  It looks more like an evolution to these BI and [...]

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The Sex Appeal of Math to Data Science

by Svetlana Sicular  |  December 18, 2012  |  Comments Off

  “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 sentences. Maybe it’s in the transitions: from a whore —  to the sexiest job, from East — to West, from socialism — to capitalism, from [...]

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What Is True In-Memory?

by Svetlana Sicular  |  November 26, 2012  |  Comments Off

Database benchmarks early this millennium were secretly prophetic. Everybody who could read beyond a first paragraph of any benchmark’s write-up was chuckling :  “They ran it in memory,” as if database vendors were cheating. And maybe, they were.  All of them. So when everybody is cheating – it is not cheating, it is a game [...]

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Think Graph

by Svetlana Sicular  |  November 8, 2012  |  Comments Off

A graph states that something is related to something else: people to people, molecules to molecules, habits to habits. Graph traversals are about paths: of ideas, time or viruses. Russian for “graph” is “граф,” which also means “earl.” In my adolescence, I thought that graph theory is about nobility, and despite my math education, a [...]

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Data Governance Is the New Black

by Svetlana Sicular  |  September 7, 2012  |  Comments Off

I cover big data and data governance.  Both are equally challenging and both promise to save the world.  Until recently, I had a false idea, that one of these topics is mainstream and another one is on sidelines for everyone other than me and a dozen people like Andrew White or Joe Bugajski. The latter is [...]

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Cassandra for Greeks or for Geeks?

by Svetlana Sicular  |  August 11, 2012  |  2 Comments

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 or a Trojan princess, who had a gift of prophecy and whom Apollo cursed never to be believed? At this week’s Cassandra Summit, I learned [...]

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Pseudo-Tweets

by Svetlana Sicular  |  July 9, 2012  |  Comments Off

“Never odd or even”  —  palindromes draw respect when they carry at least some spark of meaning; you’ll even read them twice. Some time ago, a good friend of mine came up with the idea of pseudo-palindromes  (the same abrupt absurd and worthlessness), but you’ll read them twice anyway:  “Eat timely Nathan. Want tea? ” [...]

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Data Scientist – Mystified

by Svetlana Sicular  |  June 29, 2012  |  7 Comments

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 shop at Target? Or Target data scientists who search on LinkedIn for pregnant teens? Either way, the companies are desperate (except for LinkedIn and Target). [...]

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