Strata Conference 2011: Complete Video Compilation

Table of contents

1. Strata Conference 2011: Day 1Participants on Day 1 of Strata were funneled through different session tracks: a Data Bootcamp, an
   1. Data Bootcamp Part 1
   2. Data Bootcamp Part 2
   3. Data Bootcamp Part 3
   4. Data Bootcamp Part 4
   5. Data Bootcamp Part 5
   6. Data Bootcamp Part 6
   7. Data Bootcamp Part 7
   8. How to Develop Big Data Applications for Hadoop Part 1
   9. How to Develop Big Data Applications for Hadoop Part 2
   10. How to Develop Big Data Applications for Hadoop Part 3
   11. Apache Cassandra in Action Part 1
   12. Apache Cassandra in Action Part 2
   13. Apache Cassandra in Action Part 3
   14. Apache Cassandra in Action Part 4
   15. Mining the Tar Sands of Big Data
   16. The Data-driven Business and Other Lessons from History
   17. Building the Data-driven Organization
   18. Determine the Right Analytic Database: A Survey of Data Technologies and Products
   19. Executive Summit - Retail: Lessons Learned from the First Data-driven Business and Future Directions
   20. Executive Summit - Barnes Noble: Big Data Analysis Across
   21. Analytics and Witch-Doctoring: Why Executives Succumb to the Black Box Mentality
   22. With Big Data Comes Big Responsibility
2. Strata Conference 2011: Day 2Participants on Day 2 of Strata watched several keynote addresses and were funneled through various
   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
   10. Disruption and Opportunity - Extracting Business Value from Semi-Structured Data
   11. Disruption and Opportunity - Making Data Science a Sport
   12. Disruption and Opportunity - Wolfram|Alpha: Answering Questions with the World's Factual Data
   13. Interfaces -Telling Great Data Stories Online
   14. Interfaces - Designing for Infinity
   15. Interfaces - Small is the New Big: Lessons in Visual Economy
   16. Interfaces -Visualizing Shared, Distributed Data
   17. Practitioner - Distilling Data Exhaust
   18. Practitioner - MAD Skills: A Magnetic, Agile and Deep Approach to Scalable Analytics
   19. Practitioner - Prototyping With Data
   20. Practitioner - Big Data, Lean Startup: Data Science on a Shoestring
   21. Practitioner - New Developments in Large Data Techniques
   22. Practitioner - Google Cloud for Data Crunchers
   23. Practitioner - OpenTSDB: A Scalable, Distributed Time Series and Database
   24. Practitioner - Real-Time Searching of Big Data with Solr and Hadoop
   25. Practitioner - Unleashing Twitter Data for Fun and Insight
   26. Practitioner - Avro Data
   27. Practitioner - Esperwhispering: Using Esper to Find Problems in Real-time Data
   28. Practitioner - Scaling Data Analysis with Apache Mahout
   29. Practitioner - Riak Core: Scalable, Highly Available Distributed Systems Infrastructure
   30. Real World Applications Panel: Healthcare and Medicine
   31. Real World Applications Panel: Machine Learning and Decision Support
   32. Real World Applications Panel: Enterprise and Industry
   33. The Data Business - Building and Pricing the Open Data Marketplace
   34. An In-Depth Look at How to Survive the Data Deluge: It's About Dollars and Sense
   35. Generating Dynamic Social Networks from Large Scale Unstructured Data
   36. Human Expertise and Artificial Intelligence in Vertical Search
   37. Supercharge Development and Performance of Hadoop Applications
   38. Microsoft DataMarket: Leveraging cloud to deliver public domain and commercial data to millions
   39. Social Media Analytics Using Greenplum's Data Computing Appliance
3. Strata Conference 2011: Day 3Participants on Day 3 of Strata were invited to watch several keynotes and to participate in panels
   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?
   9. Disruption and Opportunity - Online Sentiment, Machine Learning, and Prediction
   10. Disruption and Opportunity - Predicting the Future: Anticipating the World with Data
   11. Interfaces - Data Journalism: Applied Interfaces
   12. Interfaces - AnySurface: Bringing Agent-based Simulation and Data Visualization to All Surfaces
   13. Interfaces - Beyond visualization: Productivity, Complexity and Information Overload
   14. Interfaces - Data as Art
   15. Interfaces - Creating a Universal Software Experience Across Devices
   16. Practitioner - Open Data: Designing Data-centric Web APIs
   17. Practitioner - Realtime Analytics at Twitter
   18. Practitioner - Present Tense: The Challenges and Trade-offs in Building a Web-scale Real-time Analytics System
   19. Practitioner - Meaningful Insights from Raw Metricks: Virtual Worlds and Other Business Applications
   20. Real World - Real World Applications Panel
   21. Real World - What Kind of Data do Government Agencies Have?
   22. Real World - Dirty Politics, Dirty Data: Taming the Federal Election Commission's Database
   23. Real World - Research Evaluation in the Age of Global Digital Scholarship
   24. The Data Business - What's Mine is Yours: The Ethics of Big Data Ownership
   25. The Data Business - Data Marketplaces
   26. Supersized Data? Get Real-time insights
   27. Data in the Cloud with OpenStack
   28. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics
   29. Painless Scaling: Rewiring your Existing Stacks for Scalability