The judges have cast their votes for the 20 must-follow tweeters from our #bigdata100 PeerIndex ranked list of big data oriented Twitter accounts. Unsurprisingly, @kdnuggets came out on top.
The top 20
Our clear winner, @kdnuggets (a.k.a. Gregory Piatetsky), finished No. 2 on the original PeerIndex Ranked list. Judge Gil Press said simply of Gregory, "been there, done that," showing there really isn't a substitute for first-hand experience when it comes to sharing valuable insight. Our own US correspondent, Jim Connolly, said:
Gregory’s posts about big data are exceptionally well-phrased, and they feature a nice mix of what he has to say and -- through links -- what others have to say. One of the keys to his approach is that he is very clear about what you will find when you follow one of his links. That’s a great time saver.
Judge and data scientist Daniel D. Gutierrez says of @kirkdborne's Twitter activity, "Always insightful and satisfyingly predictive." Meanwhile, Gil Press states, "A rocket scientist rising like a rocket up the online influence charts." Follow @kirkdborne
In the words of judge Bill Franks, @revodavid earned his position because:
He seems to come up with content on a more frequent basis than most. At the same time, his content is consistently good. That’s a hard combination to find.
James Robinson, co-founder of OpenSignal, summed up @hmason's Twitter output nicely:
A charming mixture of tweets about data and NYC from the chief data scientist at bitly -- a must for those who like both their Apples and Data to be Big, but their links to be small.
Meanwhile, Daniel D. Gutierrez filled us in on his introduction to Hilary's tweets, telling us, "I was turned on to Hilary Mason by Professor Peng at Johns Hopkins. Thanks Roger!" Follow @hmason
A recent contributor to Big Data Republic with Big Data Analytics: Facts & Feelings, @sethgrimes was voted into the fifth spot. Fritz Nelson, vice president and editorial director of InformationWeek Business Technology, hit the nail on the head, describing Seth as "Superbly knowledgeable, with edge." Follow @sethgrimes
"Because he is helping change the world, the role of government -- he's not just talking it, he's living it and doing it," says Fritz of @todd_park, Obama's go-to tech guy. Follow @todd_park
Coming in at No. 7, Cindi's @biscorecard Twitter account gets Fritz's vote:
Because she actually tests the technology, and does a deep assessment. That is, she's not just theoretical, she's practical and that gives her knowledge and advantage.
Yet another data scientist on the list, Carla Gentry, a.k.a. @data_nerd, typifies what this list is all about. Someone with great experience doing the work and sharing her insights with the community. For me, that's the most valuable thing the big data community can have. Follow @data_nerd
Joshua, or @dataenthusiast as we know him, is another one tweeting from the sharp edge of big data, informed by his position as senior operations performance analyst at Nike. Daniel says, "Joshua Burkhow is just like me, a data enthusiast!" Follow @dataenthusiast
User Rank: Petabyte Pathfinder 5/23/2013 | 8:24:56 AM
Re: Congrats Gregory and all selected! Thanks Luke! I have my site at Analytical-Solution dot com and am writing a blog as we speak on how I got started in Data Science for Big Data Republic (should be a goodie, smiling) Hope you enjoy and give me a shout on Twitter at @Data_Nerd :o)
Re: Congrats Gregory and all selected! Not many from India or China at the top. Yet when you visit any analytic department in any company in US, 70% of the data scientists have Chinese or Indian origins. The remaining are from Europe, Africa, and North America.
Re: Congrats Gregory and all selected! So glad to see all the TOP 20 winners in our Big Data Twitter competition. I can safely say that each time when I experience unexpected downtime, like waiting in line at the bank or market, riding in an elevator, or just walking from point A to point B, I take out my iPhone and tune in to all the great Tweets that strengthen my knowledge of the big data and data science field. What great resources!