This week, between April 19-28, 2012, the Big Data Week has been taking place in 3 countries simultaneously, consisting in 50 meetups about Dig Data. A panel session held in London featured the brightest minds in the Big Data industry:
* Doug Cutting, co-founder of the Apache Hadoop project and creator of Nutch and Lucene
* Nick Halstead - Founder/CTO DataSift
* Hilary Mason – Bit.ly Chief Scientist
* Andy Kirk – Visualising Data
* Edd Dumbill – Program Chair Strata Conference – Moderator
I couldn't attend the event, but I followed the Twitter conversation on #BigDataWeek. Here there are 10 tweets to help beginners like me understand what kind of issues are involved in the discussion about Big Data:
1. @IanFOsborne Big Data means never having to sample anymore!
2. @michellegallen Education is fragmented and operates in silos. This works against training data scientists who need to work across disciplines
3. @jamesholwell Right on. Insightful data analytics alone won't get board-level attention, has to tell a story (and look pretty!)
4. @jamesholwell Big data in 5 years time: sentiment analysis applied to the whole of humanity (assuming privacy doesn't get in the way)
5. @rosshitch media scientists are rare and tend to generate objective results but businesses need action points
6. @wacinski "There will be regulatory constraints on how we're able to analyse datasets, such as the information held by Facebook"
7. @DavidRajan open data open innovation datascience and big data - is all converging
8. @nick365 okCupid an example of not such big data but very very interesting relationship discoveries from their blog.okcupid.com
9. @FlyingBinary Apart from the finance applications by the panel mentioned there is #bigdata revolution underway in the HR and Research space
10. @darachennis Data is a collection of facts. Can't IP or (c) that. Why not treat data as a legal person? Would prevent lots of dumb lawsuits
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