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Strata Conference 2011: Complete Video Compilation

Video Description

Tune into the new world of big data with this incisive video compilation of O’Reilly's inaugural Strata Conference. Held on February 1-3 in the heart of California’s Silicon Valley, Strata included 78 inspiring sessions with the world’s leading data analysts, scientists, and practitioners. Hilary Mason (, Ben Gimpert (Altos Research), Chris Wensel (Concurrent, Inc.), Patrick Chanezon (Google), Zane Adam (Microsoft), Mile Olson (Cloudera) and other luminaries lead the Executive Summit, Data Bootcamp, and practitioner sessions.

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