Strata Conference Santa Clara 2013: Complete Video Compilation

Table of contents

1. Tutorials
   1. Just the Basics: Core Data Science Skills with Kaggle's Top Competitors - William Cukierski and Ben Hamner - Part 1
   2. Just the Basics: Core Data Science Skills with Kaggle's Top Competitors - William Cukierski and Ben Hamner - Part 2
   3. Just the Basics: Core Data Science Skills with Kaggle's Top Competitors - William Cukierski and Ben Hamner - Part 3
   4. Using HBase effectively - What You Need to Know as an Application Developer - Jonathan Hsieh and Himanshu Vashishtha - Part 1
   5. Using HBase effectively - What You Need to Know as an Application Developer - Jonathan Hsieh and Himanshu Vashishtha - Part 2
   6. Using HBase effectively - What You Need to Know as an Application Developer - Jonathan Hsieh and Himanshu Vashishtha - Part 3
   7. Using HBase effectively - What You Need to Know as an Application Developer - Jonathan Hsieh and Himanshu Vashishtha - Part 4
   8. Hadoop Data Warehousing with Hive - Dean Wampler - Part 1
   9. Hadoop Data Warehousing with Hive - Dean Wampler - Part 2
   10. Hadoop Data Warehousing with Hive - Dean Wampler - Part 3
   11. Hadoop Data Warehousing with Hive - Dean Wampler - Part 4
   12. An Introduction to the Berkeley Data Analytics Stack (BDAS) Featuring Spark, Spark Streaming, and Shark - Ion Stoica - Part 1
   13. An Introduction to the Berkeley Data Analytics Stack (BDAS) Featuring Spark, Spark Streaming, and Shark - Matei Zaharia - Part 2
   14. An Introduction to the Berkeley Data Analytics Stack (BDAS) Featuring Spark, Spark Streaming, and Shark - Shivaram Venkataraman
   15. An Introduction to the Berkeley Data Analytics Stack (BDAS) Featuring Spark, Spark Streaming, and Shark - Tathagata Das - Part 4
   16. D3.js tutorial - Scott Murray and Jerome Cukier - Part 1
   17. D3.js tutorial - Scott Murray and Jerome Cukier - Part 2
   18. D3.js tutorial - Scott Murray and Jerome Cukier - Part 3
   19. D3.js tutorial - Scott Murray and Jerome Cukier - Part 4
   20. Think Like a Data Journalist: How the Guardian Turns Data into Stories Every Day - Simon Rogers and Feilding Cage - Part 1
   21. Think Like a Data Journalist: How the Guardian Turns Data into Stories Every Day - Simon Rogers and Feilding Cage - Part 2
   22. Think Like a Data Journalist: How the Guardian Turns Data into Stories Every Day - Simon Rogers and Feilding Cage - Part 3
   23. Think Like a Data Journalist: How the Guardian Turns Data into Stories Every Day - Simon Rogers and Feilding Cage - Part 4
   24. Python for Data Analysis - Wes McKinney - Part 1
   25. Python for Data Analysis - Wes McKinney - Part 2
   26. Python for Data Analysis - Wes McKinney - Part 3
   27. Python for Data Analysis - Wes McKinney - Part 4
   28. Introduction to Apache Hadoop - Sarah Sproehnle - Part 1
   29. Introduction to Apache Hadoop - Sarah Sproehnle - Part 2
   30. Introduction to Apache Hadoop - Sarah Sproehnle - Part 3
   31. Introduction to Apache Hadoop - Sarah Sproehnle - Part 4
   32. Google Cloud for Data Crunchers - Ryan Boyd, Michael Manoochehri, Julia Ferraioli, and Takashi Matsu - Part 1
   33. Google Cloud for Data Crunchers - Ryan Boyd, Michael Manoochehri, Julia Ferraioli, and Takashi Matsu - Part 2
2. Big Data for Enterprise IT Day
   1. Revolution or Evolution - Mark Madsen and Marc Demarest
   2. The Big Data Business Model Maturity Index - Bill Schmarzo
   3. Big Data is a Business Problem - Krish Krishnan
   4. A Fundamentally Different Approach to Hadoop Based Enterprise Analytics Architecture - Jeff Denworth
   5. Deep Learning - The Biggest Data Science Breakthrough of the Decade - Jeremy Howard
   6. Data Wrangling: Making People Productive with Data - Joe Hellerstein
   7. The Laws of Data Mining - Duncan Ross
   8. How to Interview a Data Scientist - Daniel Tunkelang
   9. The Science of Managing Data Scientists - Kate Matsudaira
   10. Keep Your Data Science Efforts from Derailing - Marck Vaisman and Sean Murphy
3. Data Driven Business Day
   1. The Business Singularity: Why Software Means Cycle Time Trumps Scale - Alistair Croll
   2. Canary in the Coalmine: How Social Data Can Prepare Us for Big Data - Susan Etlinger
   3. Data is Not a Business Model: Moving Knowledge to Action - Jen van der Meer
   4. Getting Big Benefits from Big Data - Jeanne Harris
   5. Real-time Big Data Analytics: From Deployment to Production - David Smith
   6. Big Data Analytics Survey: How Enterprises are REALLY Using Big Data - Rebecca Shockley
   7. We Have Fancy Math, Now What? - Timothy Mohn
   8. Data and Campaigns: A Conversation with Obama For America Chief Scientist Rayid Ghani - Rayid Ghani
   9. Turning a Telco's Network Data into Insights for Retailers - Ruben Lara Hernandez and Michael Fishwick
   10. Implementing a Simpler, More Agile Big Data Architecture with Hadoop, NoSQL DB and Search for a New Breed of Real-time Applicati
   11. Putting Big Data to Work in Retail - Increasing Margins, Avoiding Food Waste - Jan Karstens and Johanna Fleckner
   12. Let the Data Decide: Predictive Analytics in Healthcare - Eugene Kolker
   13. Data and the Hurricane: Data-Driven Response to Sandy - Ari Gesher
   14. Secure Analytics on the Cloud - Khaled El Emam
   15. Data-Driven Disaster Relief - Molly Turner and Riley Newman
   16. Flying with Elephants: How CAASD Uses Hadoop to Mine Aviation Data - Marcio Silva
4. Keynotes
   1. Video Games: The Biggest Big Data Challenge - Rajat Taneja
   2. Hadoop: The Foundation for Change - Scott Yara
   3. Committing to Recommendation Algorithms - Eric Colson
   4. Hadoop: Big Results - John Schroeder
   5. Big Data on Small Devices: Data Science goes Mobile - Yael Garten
   6. Using Data to Honor the Human Right to Education - Prasad Ram
   7. Moneyballing Government - Jennifer Pahlka
   8. Getting Big Benefits from Big Data (Keynote) - Jeanne Harris
   9. Xbox Data is XXL - Dave Campbell
   10. Broad Data: What Happens When the Web of Data Becomes Real? - James Hendler
   11. Delivering Intelligence Wherever Data Lives - Girish Juneja
   12. Grafting Hadoop and SAP HANA Together - Joydeep Das
   13. Human Fault-tolerance - Nathan Marz
   14. Algorithmic Illusions: Hidden Biases of Big Data - Kate Crawford
   15. Big Data vs The Beltway: The Regulatory Risks to Data-Driven Businesses - Kenneth Cukier
   16. The Victory Lab - Sasha Issenberg
5. Sessions
   1. Dodging the Digital Creep Factor - Shelley Evenson
   2. Location Intelligence Targets Information for Development - Stewart Collis
   3. How to Transform your Business by Choosing the Right Big Data Stack - Billy Bosworth and Sean Knapp
   4. Expect More From Hadoop - Ted Dunning
   5. Beyond Hadoop MapReduce: Interactive Analytic Insights Using Spark - Sharmila Shahani-Mulligan, Matei Zaharia, and Stephanie McR
   6. Agile Data Wrangling and Web-based Visualizations - Chang She
   7. Introduction to Forecasting - Michael Bailey
   8. Funnel Analysis in Hadoop at Etsy - Matt Walker, Wil Stuckey, and Steve Mardenfeld
   9. Sci vs. Sci: Attack Vectors for Black-hat Data Scientists, and Possible Countermeasures - Joseph Turian
   10. Public Health Case Study: Tracking Zombies and Vampires using Social Media - John Feland
   11. Strengthening the Bond Between Hadoop and Your Analytic Database - Joydeep Das
   12. Revolutionizing Governance and eDiscovery with Entity Analytics - Tim Estes and Brandon Daniels
   13. An Introduction to Apache Drill - Tomer Shiran
   14. Facet: The Recursive Approach to Visualization - Vadim Ogievetsky
   15. Next-Gen Data Scientists - Rachel Schutt
   16. Building Scalable Big Data Infrastructure Using Open Source Software - Sam William
   17. Who is Fake? Discover Astroturfing or Attempts of Fake Influence! - Lutz Finger
   18. The Hadoop Data Reservoir - Requirements and Pitfalls - Peter Schlampp
   19. Demonstrating the High-Performance Future of Hadoop - Josh Klahr and Gavin Sherry
   20. Sketching Techniques for Real-time Big Data - Bahman Bahmani
   21. Designed for Insight: Principles of Big Data Design - Douglas van der Molen
   22. The IPython Notebook: a Comprehensive Tool for Data Science - Brian Granger
   23. Coordinating the Many Tools of Big Data in Hadoop - Alan Gates
   24. How to Crowdsource Large Scale Identity Theft and Fraud to Make Bucket Loads of Easy Money - Jo Prichard
   25. Real Time Network Analytics with Storm - Mauricio Vacas, Fausto Inestroza, and Sonali Parthasarathy
   26. Data Visualization Design Using Shneiderman's Mantra: Overview First, Zoom and Filter, Then Details-on-Demand - Eric Legrand and
   27. Pervasive Data Munging Gremlins - Bradley Voytek
   28. Building Tools for the Hadoop Developer - Matt Winkler
   29. Big Data is a Hotbed of Thoughtcrime, Part II: The Code - Jim Adler
   30. Zooniverse: Web-scale Citizen Science - Arfon Smith
   31. Implementing Big Data at the Speed of Business - Raanan Dagan and Rahul Deshmukh
   32. Learning's Clarion Call: Teaming to Improve US Education with Big Data Science - Marie Bienkowski, Jace Kohlmeier, Zachary Pardo
   33. The Future of Relational (or Why You Can't Escape SQL) - Tim O'Brien
   34. Using Web Standards to Create Interactive Data Visualizations - Nicolas Garcia Belmonte
   35. What To Do When Your Machine Learning Gets Attacked - Vishwanath Ramarao
   36. Tricks for Distributed System Debugging and Diagnosis - Philip Zeyliger
   37. Strategies for Avoiding Big Privacy
   38. Bigger Than Any One - Solving Large-Scale Data Problems with People and Machines - Tyler Bell
   39. SQL on Hadoop: Defining the New Generation of Analytic Databases - Carl Steinbach
   40. Leveraging Hadoop Data: High Performance Analytics On ParAccel - John Santaferraro and Walt Maguire
   41. Petascale Processing On An Open Source Budget: An Introduction to QFS - Jim Kelly
   42. Using Every Pixel to Visualize Big Data - Lynwood Bishop
   43. Real-time Stream Processing and Visualization Using Kafka, Storm, and d3.js - Justin Langseth and Byron Ellis
   44. How Hadoop in the Cloud Affects Developer-Friendly Decision Making - Philip Kromer
   45. Crowdfunded Open Doctor Data - Fred Trotter
   46. Medical Data: Going from Hospitals to Home - Carson Darling
   47. When Energy Met Intelligence: Utilities Using Hadoop for Analytics at Scale - Greg Khairallah and Bert Haskell
   48. Tools to Turn Emergencies into Knowledge: Turning 911 into 411 - Eron Kelly and Paul Henderson
   49. Maps Not Lists: Network Graphs for Data Exploration - Amy Heineike
   50. Feedback Control for Programmers and Other Strangers - Philipp Janert
   51. Big Data Tag-Team: Hadoop and the Data Warehouse - Shaun Connolly and Tasso Argyros
   52. Monkeys and Math: How MailChimp Catches Bad Guys - John Foreman
   53. Sociometric Badges: Using Wearable Sensors to Change Management - Ben Waber
   54. Data Set Management System for Hadoop - Michael Lang Sr. and Michael Lang Jr.
   55. Ready for Primetime? What Enterprise-ready Really Means - Charles Zedlewski
   56. High-Volume Data Collection and Real Time Analytics Using Redis - C. Aaron Cois and Tim Palko
   57. Four Pillars of Effective Visualizations - Noah Iliinsky
   58. Real-World Machine Learning on Big Data: Which Method(s) Should You Use? - Alexander Gray
   59. The Workflow Abstraction - Paco Nathan
   60. A Model Strategy for Data Journalism in a Country Without Open Data - Sandra Crucianelli and Angelica Peralta Ramos
   61. Deriving an Interest Graph for Social Data - Anna Smith
   62. Data Science vs. Analytics - Approaches to Problem Solving - Nick Kolegraff
   63. The Rise of the Scientific Databases - John A. De Goes
   64. Language Technologies for a Connected World: Processing and Visualizing Unstructured Text in 5000 Languages - Robert Munro
   65. Third Generation Tools for Realizing Machine Learning Algorithms - Dr. Vijay Srinivas Agneeswaran
   66. The BigData Top100 List - Milind Bhandarkar and Chaitan Baru
   67. The Web As The Greatest Dataset Of All Time - Lisa Green, Greg Lindahl, and Kevin Burton
   68. Dotting the I's with Hadoop on Eseries - David Henry and Benjamin Lloyd
   69. Using Hadoop to Expand Data Warehousing - Mike Peterson
   70. Impala: A Modern SQL Engine for Hadoop - Justin Erickson
   71. Introducing Julia - a New Open Source Mathematical Programming Language - Michael Bean
   72. Building Recommendation Platforms with Hadoop - Jayant Shekhar
   73. Design, Transparency, and Big Data in Civil Litigation - Dean Malmgren and Michael Stringer
   74. Big Data from Small Devices: Using Smartphones to Understand Human Behavior - Nadav Aharony
   75. Big Data on the Open Cloud - Natasha Gajic
   76. Five Real World Hadoop Success Stories with HP - Sanjai Marimadaiah, Luis Maldonado, and Jerome Levadoux
   77. Druid: Interactive Queries Meet Real-time Data - Eric Tschetter and Danny Yuan
   78. Great Debate: Design Matters More Than Math - Alexander Gray, Monica Rogati, Julie Steele, and Douglas van der Molen