Svetlana Sicular

A member of the Gartner Blog Network

Entries Tagged as 'data'


Big Data Quantity vs. Quality

by Svetlana Sicular  |  May 22, 2014  |  Comments Off

Increasing adoption of big data technologies brings about the big data dilemmas: Quality vs. quantity Truth vs. trust Correction vs. curation Ontology vs. anthology Data profiling, cleansing or matching in Hadoop or elsewhere are all good but they don’t resolve these dilemmas.  My favorite semantic site Twinword pictures what a dilemma is. You get the picture. New technologies promote sloppiness. [...]

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Category: "Data Scientist" analytics Big Data big data quality Crossing the Chasm data governance data paprazzi Humans Information Everywhere innovation Inquire Within Uncategorized     Tags: , , , , , , ,

Wall Street is Hiring for Big Data

by Svetlana Sicular  |  April 28, 2014  |  1 Comment

Big data finally reached Wall Street. Not for small science experiments, but seriously, in grand style, with exorbitant salaries, for production and DevOps. A couple of years ago, Silicon Valley companies were bragging to each other about hiring Wall Street quants for data scientists. Now Wall Street is happy to grab  — whom? No, not data scientists [...]

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Category: "Data Scientist" Big Data big data market Crossing the Chasm data Hadoop market analysis Uncategorized     Tags: , , , , , , , ,

Word of the Next Year

by Svetlana Sicular  |  December 27, 2013  |  Comments Off

Selfie is the word of 2013. Or maybe, it isn’t. There are other winners: (data) science, privacy and geek.  The latter wins for acquiring a more positive image, together with hacker, I assume. These words signify growing people centricity as a result of convergence of four powerful forces — big data, mobility, cloud and social computing [...]

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Category: Big Data cloud crowdsourcing data fashion Humans open data Uncategorized     Tags: , , , , ,

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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Category: "Data Scientist" analytics Big Data data Information Everywhere innovation Inquire Within Mathematics skills Uncategorized     Tags: , , , , , , , , , , ,

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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Category: "Data Scientist" analytics Big Data Crossing the Chasm data data governance data paprazzi events fashion geospatial GraphConnect Information Everywhere innovation Inquire Within Local News noSQL open source Uncategorized     Tags: , , , , , , , ,

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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Category: Big Data Catalyst Catalyst-NA data data governance data paprazzi EIM events geospatial Hadoop Information Everywhere innovation Inquire Within Local News market analysis Uncategorized     Tags: , , , , , , , ,

The #GartnerCat’s Pajamas

by Svetlana Sicular  |  August 28, 2012  |  Comments Off

“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) last week. Coming back from Catalyst was like returning from a whitewater trip: the same sense of excitement and learning about yourself under extreme conditions. [...]

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Category: Big Data Catalyst Catalyst-NA Crossing the Chasm data data paprazzi events geospatial Information Everywhere Local News market analysis skills Uncategorized     Tags: , , , , , , , , , , , , , , , , ,

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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Category: analytics Big Data Cassandra Catalyst Catalyst-NA cloud data data paprazzi events fashion geospatial Information Everywhere innovation Inquire Within Local News market analysis noSQL open source skills Trojans Uncategorized     Tags: , , , , , , , , , , , , , , , , , , , ,

Haute Couture of Big Data

by Svetlana Sicular  |  July 19, 2012  |  2 Comments

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 I was following up on your attendance at the hi dude summit  that was held June 13 and fourteenth,” — I love my email for [...]

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Category: "Data Scientist" Big Data big data market Catalyst Catalyst-NA Crossing the Chasm data data paprazzi events fashion Hadoop Information Everywhere innovation Local News market analysis skills Uncategorized     Tags: , , , , , , , , , , , , , , , , ,

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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