Strata Conference 2011: Video Compilation

Table of contents

1. Strata Conference 2011: Day 1
   1. Data Bootcamp Part 1 - Joseph Adler, Drew Conway, Jake Hofman, and Hilary Mason Me
   2. Data Bootcamp Part 2 - Jake Hofman
   3. Data Bootcamp Part 3 - Jake Hofman
   4. Data Bootcamp Part 4 - Hilary Mason and Drew Conway
   5. Data Bootcamp Part 5 - Hilary Mason
   6. Data Bootcamp Part 6 - Joseph Adler
   7. Data Bootcamp Part 7 - Drew Conway, Joseph Adler, and Hilary Mason
   8. Practitioner - How to Develop Big Data Applications for Hadoop Part 1 - Abe Taha, Ken Krugler, and Chris Wensel
   9. Practitioner - How to Develop Big Data Applications for Hadoop Part 2 - Abe Taha, Michael Williams, Shevek, and Ken Krugler
   10. Practitioner - How to Develop Big Data Applications for Hadoop Part 3 - Abe Taha, Shevek, Peter Sirota, and Chris Wensel
   11. Practitioner - Apache Cassandra in Action Part 1 - Jonathan Ellis
   12. Practitioner - Apache Cassandra in Action Part 2 - Jonathan Ellis
   13. Practitioner - Apache Cassandra in Action Part 3 - Jonathan Ellis
   14. Practitioner - Apache Cassandra in Action Part 4 - Jonathan Ellis
   15. Executive Summit - Mining the Tar Sands of Big Data - Michael Driscoll
   16. Executive Summit - The Data-driven Business and Other Lessons from History - Barry Devlin
   17. Executive Summit - Building the Data-driven Organization - Bob Page
   18. Executive Summit - Determine the Right Analytic Database: A Survey of Data Technologies and Products - Mark Madsen
   19. Executive Summit - Retail: Lessons Learned from the First Data-driven Business and Future Directions - Marilyn Craig
   20. Executive Summit - Barnes Noble: Big Data Analysis Across Bricks and Clicks for Driving Competitive Advantage - Mark Parrish
   21. Executive Summit - Analytics and Witch-Doctoring: Why Executives Succumb to the Black Box Mentality - J.C. Herz
   22. Executive Summit - With Big Data Comes Big Responsibility - John Fritz
2. Strata Conference 2011: Day 2
   1. Opening Welcome - Edd Dumbill and Alistair Croll
   2. Keynote - What Data Tells Us - Hilary Mason
   3. Keynote - Privacy and Big Behavioral Data in the B2B Space - James Powell
   4. Keynote - The Mythology of Big Data - Mark Madsen
   5. Keynote - Data Without Limits - Werner Vogels
   6. Keynote - Data Everywhere: There Ought to Be a Marketplace for It - Zane Adam
   7. Keynote - Delivering Big Data: A Conversation with Mike Olson and Rod Smith - Abhishek Mehta, Mike Olson, and Rod Smith
   8. Keynote - The $3 Million Heritage Health Prize - Anthony Goldbloom
   9. Disruption and Opportunity - Crowdsourcing and the Democratization of Data - Lukas Biewald
   10. Disruption and Opportunity - Extracting Business Value from Semi-Structured Data - Cindi Thompson
   11. Disruption and Opportunity - Making Data Science a Sport - Anthony Goldbloom
   12. Disruption and Opportunity - Wolfram|Alpha: Answering Questions with the World's Factual Data - Joshua Martell
   13. Interfaces -Telling Great Data Stories Online - Jock Mackinlay
   14. Interfaces - Designing for Infinity - Dustin Kirk
   15. Interfaces - Small is the New Big: Lessons in Visual Economy - Kim Rees
   16. Interfaces -Visualizing Shared, Distributed Data - Alon Halevy, Roman Stanek, and Pete Warden
   17. Practitioner - Distilling Data Exhaust - Peter Skomoroch
   18. Practitioner - MAD Skills: A Magnetic, Agile and Deep Approach to Scalable Analytics - Brian Dolan and Joe Hellerstein
   19. Practitioner - Prototyping With Data - Matt Biddulph
   20. Practitioner - Big Data, Lean Startup: Data Science on a Shoestring - Philip Kromer
   21. Practitioner - New Developments in Large Data Techniques - Joseph Turian
   22. Practitioner - Google Cloud for Data Crunchers - Patrick Chanezon and Ryan Boyd
   23. Practitioner - OpenTSDB: A Scalable, Distributed Time Series and Database - Benoit Sigoure
   24. Practitioner - Real-Time Searching of Big Data with Solr and Hadoop - Rod Cope
   25. Practitioner - Unleashing Twitter Data for Fun and Insight - Matthew Russell
   26. Practitioner - Avro Data - Doug Cutting
   27. Practitioner - Esperwhispering: Using Esper to Find Problems in Real-time Data - Theo Schlossnagle
   28. Practitioner - Scaling Data Analysis with Apache Mahout - Isabel Drost
   29. Practitioner - Riak Core: Scalable, Highly Available Distributed Systems Infrastructure - Justin Sheehy
   30. Real World Applications Panel: Healthcare and Medicine - Andrew Odewahn, Carol McCall, David Van Sickle, Jim Golden, and Indu Subaiya
   31. Real World Applications Panel: Machine Learning and Decision Support - Samy Bengio, Jonathan Seidman, Robert Lancaster, and Alasdair Allan
   32. Real World Applications Panel: Enterprise and Industry - Kenneth Cukier, Adam Hurwitz, Jinesh Varia, and Mario Veiga Pereira
   33. The Data Business - Building and Pricing the Open Data Marketplace - Pete Soderling and Pete Forde
   34. An In-Depth Look at How to Survive the Data Deluge: It's About Dollars and Sense - Ed Boyajian
   35. Generating Dynamic Social Networks from Large Scale Unstructured Data - Tim Estes
   36. Human Expertise and Artificial Intelligence in Vertical Search - Peter Jackson
   37. Supercharge Development and Performance of Hadoop Applications - Davin Potts
   38. Microsoft DataMarket: Leveraging cloud to deliver public domain and commercial data to millions - Sudhir Hasbe and Bruno Aziza
   39. Social Media Analytics Using Greenplum's Data Computing Appliance - John Schleir-Smith
3. Strata Conference 2011: Day 3
   1. Keynote - Free Our Data: How We Made Sense of Huge Datasets - Simon Rogers
   2. Keynote - Posthhumans, Big Data and New Interfaces - Alistair Croll, Toby Segaran, Amber Case, and Bradford Cross
   3. Keynote - Why Legacy Databases Can't Survive the Data Deluge - It's About Dollars and Sense - Ed Boyajian
   4. Keynote - The Heat Death of the Data Warehouse - Barry Devlin
   5. Keynote - Innovating Data Teams - DJ Patil
   6. Keynote - Your Data Rules the World - Scott Yara
   7. Keynote - Can Big Data Fix Healthcare? - Carol McCall
   8. Disruption and Opportunity - Where's the Money in Big Data? - Tim Guleri, Roger Ehrenberg, Paul Kedrosky, and Ping Li
   9. Disruption and Opportunity - Online Sentiment, Machine Learning, and Prediction - Ben Gimpert, Margaret Francis, Ryan Strynatka, Josh Merchant, and Alistair Croll
   10. Disruption and Opportunity - Predicting the Future: Anticipating the World with Data - Drew Conway, Christopher Ahlberg, Robert McGrew, and Rion Snow
   11. Interfaces - Data Journalism: Applied Interfaces - Marshall Kirkpatrick, Simon Rogers, and Jer Thorp
   12. Interfaces - AnySurface: Bringing Agent-based Simulation and Data Visualization to All Surfaces - Stephen Guerin
   13. Interfaces - Beyond visualization: Productivity, Complexity and Information Overload - Creve Maples
   14. Interfaces - Data as Art - J.J. Toothman
   15. Interfaces - Creating a Universal Software Experience Across Devices - Ram Peddibhotla
   16. Practitioner - Open Data: Designing Data-centric Web APIs - Pablo Castro
   17. Practitioner - Realtime Analytics at Twitter - Kevin Weil
   18. Practitioner - Present Tense: The Challenges and Trade-offs in Building a Web-scale Real-time Analytics System - Benjamin Black
   19. Practitioner - Meaningful Insights from Raw Metricks: Virtual Worlds and Other Business Applications - Nicholas Yee and Nic Ducheneaut
   20. Real World - Real World Applications Panel - Alexander Howard, Peter Clark, and Steve Midgley
   21. Real World - What Kind of Data do Government Agencies Have? - Virginia Carlson
   22. Real World - Dirty Politics, Dirty Data: Taming the Federal Election Commission's Database - Jonathan Bruner
   23. Real World - Research Evaluation in the Age of Global Digital Scholarship - Brian Wilson
   24. The Data Business - What's Mine is Yours: The Ethics of Big Data Ownership - Tim O'Reilly, Dylan Field, Nolan Goldberg, Brian Fitzpatrick, and Jud Valeski
   25. The Data Business - Data Marketplaces - Julie Steele, Ian White, Peter Marney, Moe Khosravy, and Dennis Yang
   26. Supersized Data? Get Real-time insights - Erik Swan and Narayan Bharadwaj
   27. Data in the Cloud with OpenStack - Eric Day
   28. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics - Vineet Tyagi
   29. Painless Scaling: Rewiring your Existing Stacks for Scalability - Ben Werther