Strata Conference New York + Hadoop World 2012: Complete Video Compilation

Table of contents

1. Thinking Big Together: Driving the Future of Data Science - Annika Jimenez and Anthony Goldbloom
2. The End of the Data Warehouse - Ben Werther
3. Beyond Batch - Doug Cutting
4. Finance vs. Machine Learning - Cathy O'Neil
5. From Traditional Database to Big Data Platform - Irfan Khan
6. Moneyball for New York City - Michael Flowers
7. The Democratization of Big Data: Bringing Hadoop to the Masses - James Markarian
8. Hadoop: Thinking Big - John Schroeder
9. Big Answers - Mike Olson
10. The Composite Database - Rich Hickey
11. The Human Face of Big Data - Rick Smolan
12. Are We Really Winning the Information Revolution? - Samantha Ravich
13. Big Data Direct The Era of Self-driven Big Data Exploration - Sharmila Shahani-Mulligan
14. Bringing the 'So What' to Big Data - Tim Estes
15. A Hands-on Introduction to Cross-disciplinary Analytics With Python - Part 1 - Roy Hyunjin Han
16. A Hands-on Introduction to Cross-disciplinary Analytics With Python - Part 2 - Roy Hyunjin Han
17. A Hands-on Introduction to Cross-disciplinary Analytics With Python - Part 3 - Roy Hyunjin Han
18. A Hands-on Introduction to Cross-disciplinary Analytics With Python - Part 4 - Roy Hyunjin Han
19. An Introduction to Hadoop - Part 1 - Mark Fei
20. An Introduction to Hadoop - Part 2 - Mark Fei
21. An Introduction to Hadoop - Part 3 - Mark Fei
22. An Introduction to Hadoop - Part 4 - Mark Fei
23. Testing Hadoop Applications - Part 1 - Tom Wheeler
24. Testing Hadoop Applications - Part 2 - Tom Wheeler
25. Testing Hadoop Applications - Part 3 - Tom Wheeler
26. Testing Hadoop Applications - Part 4 - Tom Wheeler
27. Using HBase - Part 1 - Amandeep Khurana and Matteo Bertozzi
28. Using HBase - Part 2 - Amandeep Khurana and Matteo Bertozzi
29. Eating at the Trough of Disillusionment - Alistair Croll
30. What Do We Need to Teach Our Organizations About Big Data? - Robert
31. Analytics for the Real World - Marshall Sponder
32. Case Study: Big Data, Small(er) Company - Camille Fournier
33. Every Visualization You've Seen is Worthless - Noah Iliinsky
34. What Can Enterprises Learn from Startups? - Bjrn Herrmann
35. Case Study: Changing the Culture of the Music Industry - David Boyle
36. Case Study: Augmenting Humans to Make Better Policy Decisions - Sean Gourley
37. Case Study: What's a Customer Worth? - Roberto Medri
38. The Disappearing Interface: Case Studies in Augmented Humanity - JD Vogt
39. Stuck in the Eighties: Why Marketers Still Don't Get Big Data - Tom Phillips
40. Case Study: Data-Driven Door-to-Door Sales - Dirk Van den Poel and Dauwe Vercamer
41. What Business People Need to Know About Data Governance - Micheline Casey
42. How Much Privacy Can We Really Expect? - Mary Ludloff and Terence Craig
43. Given Enough Monkeys - Some Thoughts on Randomness - Jesse Anderson
44. Mainstream Big Data Through Storytelling - Kristian Hammond
45. Linking Census and Enterprise Data Sets - Deborah Cooper
46. Dealing with Dirty Data - Finding the Right Tool for the Job - Part 1 - Susan E. McGregor, Alice Brennan, and Michael Sullivan
47. Dealing with Dirty Data - Finding the Right Tool for the Job - Part 2 - Susan E. McGregor, Alice Brennan, and Michael Sullivan
48. Dealing with Dirty Data - Finding the Right Tool for the Job - Part 3 - Susan E. McGregor, Alice Brennan, and Michael Sullivan
49. Building a Large-scale Data Collection System Using Flume NG - Part 1 - Hari Shreedharan, Will McQueen, Arvind Prabhakar, Prasad
50. Building a Large-scale Data Collection System Using Flume NG - Part 2 - Hari Shreedharan, Will McQueen, Arvind Prabhakar, Prasad
51. Building a Large-scale Data Collection System Using Flume NG - Part 3 - Hari Shreedharan, Will McQueen, Arvind Prabhakar, Prasad
52. A Most Excellent Big Data Strategy - Bill Schmarzo
53. Big Data Is Not Yet Another IT Project - Krish Krishnan
54. Moving to Big Data: Strategies and Tactics for Setting Your Organization up for Success - Sheridan Hitchens
55. Data Wrangling: Making People Productive with Data - Joe Hellerstein
56. How To Plan a Successful Big Data Pilot - Michael Gold and Ryan McClarren
57. Hadoop's Role in a Big Data Architecture - Jim Walker
58. Not Just Hadoop: NoSQL in the Enterprise - Steve Francia
59. Designing Data Visualizations Workshop - Part 1 - Noah Iliinsky
60. Designing Data Visualizations Workshop - Part 2 - Noah Iliinsky
61. Designing Data Visualizations Workshop - Part 3 - Noah Iliinsky
62. Designing Data Visualizations Workshop - Part 4 - Noah Iliinsky
63. Search and Real-time Analytics on Big Data - Part 1 - Sewook Wee, Ryan Tabora, and Jason Rutherglen
64. Search and Real-time Analytics on Big Data - Part 2 - Sewook Wee, Ryan Tabora, and Jason Rutherglen
65. Search and Real-time Analytics on Big Data - Part 3 - Sewook Wee, Ryan Tabora, and Jason Rutherglen
66. Search and Real-time Analytics on Big Data - Part 4 - Sewook Wee, Ryan Tabora, and Jason Rutherglen
67. Hadoop Data Warehousing with Hive - Part 1 - Dean Wampler
68. Hadoop Data Warehousing with Hive - Part 2 - Dean Wampler
69. Hadoop Data Warehousing with Hive - Part 3 - Dean Wampler
70. Hadoop Data Warehousing with Hive - Part 4 - Dean Wampler
71. Best Practices for Building and Deploying Predictive Models over Big Data - Part 1 - Robert Grossman and Collin Bennett
72. Best Practices for Building and Deploying Predictive Models over Big Data - Part 2 - Robert Grossman and Collin Bennett
73. Best Practices for Building and Deploying Predictive Models over Big Data - Part 3 - Robert Grossman and Collin Bennett
74. Best Practices for Building and Deploying Predictive Models over Big Data - Part 4 - Robert Grossman and Collin Bennett
75. 'Data Exponential' - K-12 Learning Analytics for Personalized Learning at Scale: Opportunities and Challenges - Roy Pea, Stephen
76. Analyzing Millions of GitHub Commits: What Makes Developers Happy, Angry, and Everything in Between? - Ilya Grigorik and Brian D
77. Best Practices for Publishing Data - Hjalmar Gislason
78. Best Practices for Reproducible Research: A Case Study in Quantitative Finance - Chang She
79. Beyond Hadoop: Fast Ad-Hoc Queries on Big Data - Mike Driscoll and Eric Tschetter
80. Beyond Targeted Ads: Big Data for a Better World - Robert Kirkpatrick
81. Big Data Analytics Platform at Nokia Selecting the Right Tool for the Right Workload - Yekesa Kosuru and Jim Tommaney
82. Big Data for the Masses: How We Opened Up the Doors to Google's Dremel - Michael Manoochehri and Jim Caputo
83. Big Data is a Hotbed of Thoughtcrime. So What? - Jim Adler
84. Big Data: Turning the Information Overload into an Information Advantage - Chris Selland and Jerome Levadoux
85. Big Data Wonderland: Two Views on the Big Data Revolution - Mark Madsen and Marc Demarest
86. BizData Monetization: Turn Your Data into Dollars - Thomas Strachan
87. Breeding Data Scientists - Amy O'Connor and Danielle Dean
88. Building Rich, High Performance Tools for Practical Data Analysis - Wes McKinney
89. Building the Next Platform for Analytic Apps in the Cloud - George Mathew
90. Commercial Graph: A Map of Financial Relationships - Michael Radwin
91. Creative Thinking and Data Science - Michael Stringer
92. Continuous Experimentation with Continuous Deployment - Steve Mardenfeld
93. Data Analysis for Explorers - Jesper Andersen
94. Data Science on Hadoop: How Cloudera Impala Unlocks New Productivity and Insights - Justin Erickson and Marcel Kornacker
95. Data Science with Hadoop at Opower - Erik Shilts
96. Deconstructing the Database - Rich Hickey
97. Demonstrating The Future of Data Science - Mike Maxey
98. Deploy a Highly Available, Elastic, Multi-tenant Hadoop Cluster in 10 Minutes - Richard McDougall
99. Designing Hadoop for the Enterprise Data Center - Jacob Rapp and Eric Sammer
100. Designing for Data-driven Organizations - Bitsy Bentley
101. Drive Smarter Decisions with Microsoft Big Data - Shawn Bice
102. Explore/Exploit: Driving Business Value with Big Data - Raymie Stata
103. GraphBuilder Scalable Graph Construction using Hadoop - Nilesh Jain
104. HDFS - What is New and Future - Sanjay Radia and Todd Lipcon
105. Hadoop as a Complementary Data Platform at PayPal - Moises Nascimento and Nagaraju Chayapathi
106. Hadoop Analytics Without a Ph.D - Richard Daley
107. Helping the World's Farmers Adapt to Climate Change - Siraj Khaliq
108. hGraph: An Open System for Visualizing Personal Health Metrics - Juhan Sonin
109. High Availability for the HDFS NameNode: Phase 2 - Aaron Myers and Todd Lipcon
110. How Draw Something Absorbed 50 Million New Users, in 50 Days, With Zero App Downtime - Frank Weigel
111. How to See Data - Kim Rees
112. How a Traditional Media Company Embraced Big Data - Oscar Padilla, Franklin Rios, and Vineet Tyagi
113. Is Your Cluster a Leaning Tower of Pisa? - Michael Segel
114. Knitting Boar - Josh Patterson and Michael Katzenellenbogen
115. Large Scale ETL with Hadoop - Eric Sammer
116. Letting More Developers Dance with Elephants: What We Learned - Matt Winkler
117. MapReduce Design Patterns - Donald Miner
118. Maximizing ROI by Sharing your Hadoop Big Data Center - Rohit Valia
119. Making Major League Data Work: Carving Up Big Data into Useful Applications for Specific Audiences - Richard Brath and Noah Schw
120. Making Pig Fly: Optimizing Data Processing on Hadoop - Thejas Madhavan Nair and Jianyong Dai
121. Moneyballing Criminal Justice: Using Data to Reduce Crime - Anne Milgram
122. Monitoring Cloud Data - Gary Dusbabek
123. Netflix's Evolving Data Science Architecture - Kurt Brown
124. Of Rocket Ships and Washing Machines: Data Technology for People - Joe Hellerstein
125. Performing Data Science with HBase - Aaron Kimball and Kiyan Ahmadizadeh
126. Predictive Modeling and Operational Analytics over Streaming Data - Roger Barga
127. Real-time Big Data Without Streaming - Ron Bodkin
128. Real-time Learning with Bayesian Bandits - Ted Dunning
129. Realtime Processing with Storm - Gabriel Eisbruch, Luis Daro Simonassi, and Jonathan Leibiusky
130. Scala + Cascading = Scalding - Avi Bryant
131. Scalable, Accessible, Predictive Analytics on Hadoop - Steven Hillion
132. Searching for the Genetic Causes of Disease with Hadoop - Charles Schmitt
133. Simple, Flexible Distributed Computing in Julia - Stefan Karpinski and Jeff Bezanson
134. Start Small Before Going Big - Steve Yun and Joseph Rickert
135. Storytelling with Data - Romy Misra
136. Taming the Object Graph - Justin Moore
137. The Art of Analytical Decomposition - Claudia Perlich
138. The Death of the Enterprise Data Warehouse - Paul Groom
139. The Language of Discovery: A Toolkit for Designing Big Data Interfaces and Interactions - Joe Lamantia
140. They Don't Teach You That In School - Cathy O'Neil and Julie Steele
141. This Message Will Self Destruct: The Implications of Self-Destructing Digital Data - Susan E. McGregor and Kathleen Duff
142. Top 10 Things We Learned About Hadoop (since we started focusing on it) - Val Bercovici
143. Trecul : Data Flow Processing Using LLVM-based JIT Compilation on Top of Hadoop - David Blair
144. Turning Raw Data in Hadoop into Interactive BI (Capital One Labs Case Study) - Peter Schlampp
145. Tying the Knot Between Hadoop and EDW - David Jonker
146. Ubiquity, Interfaces, and Data: A Look Ahead to the Internet of Things - Rob Coneybeer
147. UGD (User Generated Data), Product Development, and Privacy - Adrian Woodhead
148. Using Data to Tune A Software Team - Jonathan Alexander
149. Using Hadoop to do Agile Iterative ETL - Ben Werther and Kevin Beyer
150. Visualizing Networks - Lynn Cherny
151. Visualization An Emerging Collaboration Opportunity - Lee Feinberg
152. Web Data Visualization: What's Becoming Easy, What's Becoming Possible - Kevin Lynagh, Kim Rees, Hadley Wickham, and David Nolen
153. What Can We Learn from Billions of Foursquare Check-ins? - Blake Shaw
154. Zillow: Disrupting the Real Estate Marketplace with Data - Stan Humphries