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Data Scientist – Mystified
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...
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The #GartnerCat’s Pajamas
“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)...
View ArticleThe Sex Appeal of Math to Data Science
“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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Big Data is Falling into the Trough of Disillusionment
My presentation on big data for the upcoming BI Summit in Barcelona is obsolete.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....
View ArticleThe Top Mistake in Evaluating Big Data Initiatives
People starting a big data initiative feel like adventurers entering Terra Incognita. The mere fact of breaking into the big data space is often enough for them to lose ground because everything seems...
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Big Data Quantity vs. Quality
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...
View Article5+ Big Data Companies to Watch
People often ask me if there is a magic quadrant for big data. There isn’t. What we have is a Hype Cycle for Big Data with abundance of big data technologies, some of which are just nascent, some are...
View ArticleReturn of the Data Scientist
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...
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Two Main Questions about Big Data
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...
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