Recomendados
Recomendados
Más contenido relacionado
Similar a Joost ouwerkerk
Similar a Joost ouwerkerk (20)
Más de montrealouvert
Más de montrealouvert (20)
Joost ouwerkerk
- 1. Big Data big problems.
- 3. What is Big Data? Volume Velocity Variety
- 4. Volume Billions of Things: Posts, Tweets and Likes Web Transactions Sensor Readings
- 5. Velocity Streaming Data: Twitter: 500,000,000 TPD Walmart: 20,000,000 TPD Hopper: 750,000,000 TPD
- 6. Variety Integrating Many Sources of Data: Unstructured Web Content Semi-structured Logs Relational Databases Images,Video, Audio
- 7. So What’s Changed? Mobile devices Social Web Sensors, Metrics Digitization of everything
- 12. Open Source Tools • Hadoop: distributed processing • R: predictive analytics for big data • Hive, Pig: ad-hoc analytics for Hadoop • Mahout: machine learning for Hadoop • HBase, Cassandra: distributed databases • ElasticSearch: distributed search engine • Storm: distributed processing for data streams
- 14. "The best minds of my generation are thinking about how to make people click ads" - Jeff Hammerbacher (Facebook, Accel, Cloudera)
- 15. Big Minds + Big Data Aggregate, Summarize Detect Patterns Model, Simulate Forecast, Predict
- 17. Text Text
- 18. Hack/reduce Open Hackspace in Boston Home for Pre-seed projects, Community events Not-for-profit sponsored by local industry and government
- 20. Hack/reduce Cluster 240-core cluster sponsored by GoGrid, a cloud computing company. Available for use at today’s Open Data Day.
- 21. What do you with a 240-core Cluster? Use the power of many machines to analyze Big Data sets.
- 22. How do you get computers to work together like that?? That’s what Hadoop is for.
- 23. An Example Daily Hansard: transcript of Canadian parliament since 1994 Swearwords.txt ( http://www.bannedwordlist.com) Who are the most foul-mouthed Federal MPs?
- 26. Results • 20 years of House of Commons statements • 511,341 Statements analyzed • 121,985,310 Words spoken • 3,839 Swearwords spoken • 1 in 133 statements has a swearword
- 27. Top 5 Swearers (absolute) Pat Martin NDP 98 Randy White Conservative 88 Alexa McDonough NDP 52 Jim Silye Conservative 50 Yvan Loubier Bloc Quebecois 49
- 28. Top 5 Swearers (relative) Randy White Conservative 0.037% 88 299,114 Dennis Mills Liberal 0.023% 14 62,221 Gerry Ritz Conservative 0.022% 22 99,037 John McCallum Conservative 0.017% 38 226,155 John McKay Liberal 0.016% 44 268,188
- 29. Top 5 Words Spoken Paul Szabo 1,482,106 Pat Martin 1,053,365 Don Boudria 867,204 Yvan Loubier 861,888 Peter McKay 844,130
- 30. Prime Ministers Jean Chrétien 11 604,431 Paul Martin 6 485,990 Stephen Harper 22 620,999
- 31. "The best minds of my generation are thinking about how to make people click ads" - Jeff Hammerbacher (Facebook, Accel, Cloudera)
Notas del editor
- In a 2001 research report [20] and related lectures, META Group (no w Gartner ) analy st Doug Laney defined data growth challenges and opportunities as being three-dimensional, i.e. increasing volume (amount of data), velocity (speed of data in and out), and variety (range of data types and sources).
- Exabyte = 1,000 petabytes = 1 million terabytes, or 1 trillion gigabytes A popular expression claims that "all words ever spoken by human beings" could be stored in approximately 5 exabytes of data
- In Big data there are no requests, no predefined parameters and no structured responses. You are free to intersect anything with anything. You can analyse, mutate, group, split, reorder in any way you can imagine.