by Svetlana Sicular | March 4, 2013 | Comments Off
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 behind it. Here is a paradox: some simple but essential things slip our attention. What is the last name of Queen Elizabeth II? When did [...]
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Category: "Data Scientist" data paprazzi Information Everywhere skills Uncategorized Tags:
by Svetlana Sicular | March 1, 2013 | Comments Off
I have a multiple choice question: What kind of data revolution are we in? Industrial Proletarian Social All of the above The industrial revolution of 18-19th century transitioned the world from hand production methods to machines. The ability to affordably analyze data is similar: first-generation Internet companies, Amazons and Googles, publically performed data alchemy – [...]
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Category: analytics Big Data data data governance data paprazzi data revolution Information Everywhere market analysis open source Uncategorized Tags: big data, data paprazzi, hadoop, Information Everywhere, Silicon Valley
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 [...]
Category: "Data Scientist" Big Data cloud data data paprazzi data revolution EIM Information Everywhere Inquire Within market analysis Uncategorized Tags: data revolution
by Svetlana Sicular | January 31, 2013 | 2 Comments
Big data is moving from closets full of hidden Hadoop clusters into corner offices, where CEOs and boards of directors issue orders to deliver “big data strategy,” whatever it means. This is called “Activity beyond early adopters” in Gartner’s Hype Cycle. Once in awhile, I get requests to help explain big data, so it would [...]
Category: "Data Scientist" analytics Big Data Crossing the Chasm data data paprazzi market analysis Uncategorized Tags: analytics, big data, big data adoption, data paprazzi, Information Everywhere, vendors
by Svetlana Sicular | January 22, 2013 | 36 Comments
My presentation on big data for the upcoming BI Summit in Barcelona is obsolete. In this presentation, I use the Gartner Hype Cycle curve to show that big data is at the peak of inflated expectations. And, as it happens with quickly developing technologies, I am already behind and big data goes ahead. Last several [...]
Category: "Data Scientist" analytics Big Data big data market Crossing the Chasm data paprazzi EIM events Hadoop Information Everywhere innovation Local News Uncategorized Tags: BI Summit, big data, big data adoption, data paprazzi, data scientist, data spy, end users, hadoop, Hadoop distribution, Information Everywhere, innovation, Silicon Valley, vendors
by Svetlana Sicular | January 15, 2013 | Comments Off
A list of my top five Gartner favorites could be top 25 but I decided to make it short (Gartner’s New Year resolution is to write shorter documents and fewer too). In the past year, prefix “un-“ was quite popular: un-learn, un-conference, un-remarkable. My un-analysis compares apples to oranges, and I love all five of [...]
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Category: analytics Big Data data data governance data paprazzi Uncategorized Tags: Gartner, Top five
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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Category: Big Data data data paprazzi In memory innovation Inquire Within life-logging noSQL Uncategorized Tags: big data, data paprazzi, Information Everywhere, pseudo-tweets, search
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: big data, data, data science, databases, graph theory, inaguration, information, Neo4j, noSQL
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: big data, big data adoption, Catalyst, data, data governance, data paprazzi, Information Everywhere, market analysis, pseudo-tweets
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: big data, big data adoption, Catalyst, crossing the chasm, data, data paprazzi, data scientist, end users, experience, health, Information Everywhere, innovation, market analysis, phones, pseudo-tweets, Silicon Valley, statistics, Twitter
