It’s time for our first Twitter recap for 2012, but instead of showcasing what happened in January, we have a special edition – the people of big data. This post from Forbes.com explored the top 20 influencers in the big data conversation and we thought we would personalize it and give you our take.
Top Five Big Data Influencers
Post author Haydn Shaughnessy used a technology called Traackr to build this list of influencers. The technology looks to be a more upscale version of Klout, which is a freemium tool that allows you to scope out influencers in social media. Just for fun, I’ve included the Klout score for each top influencer in big data for comparison. His top five are:
- Bob Gourley (@bobgourley)– Founder of Crucial Point consulting and editor of CTOVision.com. According to the Traackr stats, he’s the most influential in reach, resonance and especially relevance on big data. Klout agrees, although Klout only calls him a socializer (Klout’s speak for someone who others look to for info). His Klout revolves around cloud computing, big data and technology. Relevant Tweet – “Mythbusters Banned From Discussing RFID By Visa And Mastercard | Disinformation http://j.mp/w6z2T9
- David Smith (@revodavid) – R Evangelist at Revolution Analytics and editor of the Revolutions blog, which covers news and info on the topic of the R statistics language. You can learn more about this language here. His Klout score is higher than Gourley’s and he’s known as an influencer on the topics of BI, technology and analytics as are 16 others. Relevant Tweet – “Analytics apps are built by data scientists – something Bill Cleveland noted 10 years ago. http://t.co/zzHrUoBQ (h/t @drewconway).”
- Klint Finley (@klintron) – a freelance journalist who covers big data for SiliconANGLE. According to Klout, his influence revolves around enterprise 2.0, Portland and technology. Relevant Tweet – “A Perfect Match: When Big Data Met Node.js http://bit.ly/wjRl5N.”
- Barb Darrow (@gigabarb) – winner of our Twitter handle of the month and a senior writer with GigaOM covering cloud computing and infrastructure. Klout says that Darrow is influential about servers, cloud computing and Amazon (speaking of big data). Relevant Tweet – “http://bit.ly/A6z1Mm #mit to teach ‘big data.’”
- Kristen Nicole (@kristennicole2) – Another SiliconANGLE product, Nicole is the news editor and a recent switchover from Mashable.com. Her Klout is centered on social media, technology, blogging, shoes and recently big data. Relevant Tweet – ”Visualize Mobile Threats Across Time, Space: Latest Lookout Labs Project | @SiliconANGLE http://t.co/L23dMPNV.”
The Rest of the List
See the full list of mostly tech writers and analysts here. The following influencers fell somewhere in the top 20, but they’re significant because they’ve been featured in some respect on our Twitter round up or on the Spotfire blog.
Dion Hinchcliffe (@dhinchcliffe) – He’s the executive vice president of Dachis Group, a tech consultancy as well as a business strategist and enterprise architect who writes on the social enterprise. He has previously been featured on our Twitter roundup.
James Taylor (@jamet123) – CEO of Decision Management Solutions and an expert on advanced analytics. He also writes at Information Management and on EBizQ.net. Taylor has appeared in our Twitter roundups and in this recent post on advanced analytics.
Gregory Piatetsky-Shapiro (@kdnuggets) – Founder and editor of KDNuggets, a community and newsletter for data miners. Piatetsky-Shapiro has been on our roundup and said his New Year’s resolution was to cover more big data.
Themes to Focus On
Shaughnessy focused on some of the key themes in our industry and gave us a great list of resources where we can learn more about big data. He built this list of social influencers by using words like data analytics and big data plus an industry focus (economics, health, etc.). The influencers are sharing their content in a social realm of unstructured data – making this an even more important focus. While he doesn’t cover this topic regularly, he found the need to address data quality when running his queries. Kudos!
Next Steps: Tell us who you think is influential in this space on Twitter.