Gartner Blog Network

Svetlana Sicular
Research Director
3 years at Gartner
21 years IT industry

Svetlana Sicular has a uniquely combined experience of Fortune 500 IT and business leadership, product management at world-class software vendors, and Big Four consulting. She primarily handles inquiries in the areas of data management strategy, ...Read Full Bio

Data and Analytics at Catalyst Conference: Get Oriented Now!

by Svetlana Sicular  |  August 8, 2015

Catalyst conference starts tomorrow. Our track is Building a Sustainable Data and Analytics Architecture for the Digital World, and in addition, there are more talks on data and analytics in other tracks. I’d like to help you get oriented before Catalyst starts by telling you which analyst specialize on what topics, and what talks are […]

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Catalyst Makes You Look Smart: Big Data Analytics for Non-Data Citizens

by Svetlana Sicular  |  July 24, 2015

Analytics is exploding — it is becoming everybody’s domain, rather than an expert’s domain. The digital economy requires to expand your existing expertise with new knowledge. The digital economy is begetting citizen-data scientists along with citizen-developers and citizen-not-my-job people. Things are getting mixed up in the digital whirlwind: Amazon is now worth more than Walmart, […]

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Big Data Is Pregnant with Analytics

by Svetlana Sicular  |  June 23, 2015

We are at the interesting point: big data time is over. It is now big data analytics time. Many organizations are at the point when they have figured out how to get data in Hadoop (or other big data stores), but not — how to get the data out and derive value from it. These […]

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Two Main Questions about Big Data

by Svetlana Sicular  |  April 16, 2015

More and more people describe the speed of big data technologies in dog years. In the lightning-fast cadence (“fail fast”), considerations for actual technical professionals who are deploying big data solutions fall into cracks. Vendors look at abstract “customers.” Big data ecosystem talks about “data scientists.” A new term “data engineer” is bubbling to the […]

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Return of the Data Scientist

by Svetlana Sicular  |  March 27, 2015

I am convinced, data science was not born in 2008 — it’s just the term “data scientist” which has been coined that year.  I wrote a blog post Data Scientist – Mystified in 2012. At the time, data science was mystified, glorified and made mathematics sexy. I liked what it did to math, but I […]

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What’s Next for Big Data?

by Svetlana Sicular  |  December 23, 2014

Shortly after joining Gartner, I noticed subtle magic in the air. Not Magic Quadrants – they were too obvious. It was I told you so repeated by many analysts on many occasions. It seemed almost mystical – how could they know? At some point, I caught myself saying I told you so too — it […]

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Big Data Is Entering the Age of Aquarius

by Svetlana Sicular  |  October 23, 2014

Suddenly, I realized: fluids are in, animals are out. The big data ecosystem has given up on its elephants, impalas and pigs in favor of aquatics.  Perhaps, the shift started with “data lakes,” or, perhaps, data lakes just reflected the state of big data (pun intended). Or maybe, Cascading was the one that signified the […]

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Where Art Thou Hadoop?

by Svetlana Sicular  |  October 14, 2014

The Hadoop ecosystem is like a kaleidoscope, where particles keep colliding, tumbling and forming mesmerizing patterns created by the reflections. My research note What Matters When Comparing Hadoop Distributions is finally out. I’ve been writing it for four months. As soon as I felt it was ready, there were some principle points that I had […]

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Gartner’s Big Data Definition Plays Out in Sports

by Svetlana Sicular  |  August 28, 2014

As a Gartner analyst, I am fortunate to frequently meet amazing people. Qaizar Hassonjee from Adidas is not only one of them, but one of the most memorable ones among the amazing people. He is at the heart of miCoach, including miCoach Elite, the system developed in partnerships with the top soccer players, coaches and teams of the […]

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Big Botched Data

by Svetlana Sicular  |  July 29, 2014

Everybody talks about successes in big data. And everybody is curious about failures.  Today, I want to illustrate some typical causes of big data project failures with real-life examples, no company logos to show, sorry.  I’ll give not necessarily “fail fast” scenarios, but also the uneventful and painful “fail slow.” Let’s start with the amazing […]

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