conference

Strata Conference New York + Hadoop World 2014: Video Compilation

by O'Reilly Media, Inc.

November 2014

Beginner to intermediate

142h 15m

English

O'Reilly Media, Inc.

Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)

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Course outline

Open Standards and the Modern Data Center - Mike Olson
13m 56s
What Would Google Do? Understanding the Future of Big Data - M. C. Srivas
9m 7s
Keynote with Miriah Meyer
8m 6s
Accelerating Parkinson’s Research with Big Data Technologies - Ron Kasabian
5m 20s
Data & The New Era of Interactive Storytelling - Sharmila Shahani-Mulligan
5m 12s
Spark Needs a Business Analyst Workflow - Ben Werther
5m 1s
Statistics Without the Agonizing Pain - John Rauser
11m 47s
Pax Data - Eli Collins
10m 14s
The Power of Emotions: When Big Data meets Emotion Data - Rana El Kaliouby
10m 51s
A New Data Science Economy - Joseph Sirosh
9m 36s
Style Stalking: The Stochastic Patterns that Drive Fashion Trends - Karen Moon
10m 3s
Pasta Mathematica - George Legendre
7m 4s
Big Data - 2020 vision - John Schitka
5m 21s
Turning Data into Decisions in a Big Data World - Rachel Hawley
5m 12s
The Hidden Brain - Shankar Vedantam
9m 13s
A Word Too Much Repeated Falls Out of Being - So Why is Big Data Being Talked About so Much? - Paul Zikopoulos
5m 42s
Is Privacy Becoming a Luxury Good? - Julia Angwin
15m 10s
Building Privacy Protected Data Systems - Ari Gesher, John Grant, and Courtney Bowman - Part 1
49m 28s
Building Privacy Protected Data Systems - Ari Gesher, John Grant, and Courtney Bowman - Part 2
56m 4s
Building Privacy Protected Data Systems - Ari Gesher, John Grant, and Courtney Bowman - Part 3
39m 44s
Building Privacy Protected Data Systems - Ari Gesher, John Grant, and Courtney Bowman - Part 4
46m 44s
Just Enough Math - Paco Nathan and Allen Day - Part 1
41m 36s
Just Enough Math - Paco Nathan and Allen Day - Part 2
44m 25s
Just Enough Math - Paco Nathan and Allen Day - Part 3
51m 45s
Just Enough Math - Paco Nathan and Allen Day - Part 4
52m 30s
Solving the Right Problem - Max Shron and Sasha Laundy
43m 22s
Transforming to a Data Driven Operations Model - Denise Asplund
37m 49s
From Experiments to Insights at Pinterest - Andrea Burbank
38m 5s
Case Study: -A Forensic Look at Success and Failure of Predictive Analytics in Healthcare - Eugene Kolker
31m 52s
The Open Data 500: Building Businesses on Free Government Data - Joel Gurin and Laura Manley
34m 51s
Decided by Data: Case Studies from a Data Driven Product Culture - Nellwyn Thomas
44m 3s
Preemptive Shipping: How Gilt Predicts Which Customers Will Buy Products It Has Never Sold Before - Igor Elbert
45m 11s
What are VCs Really Looking For? - Michael Dauber, Renee DiResta, Matt Turck, James Cham, and Jake Flomenberg
42m 27s
PDF Prison Break: Freeing Data, Empowering Experts at Edmunds.com - John Akred and Karim Qazi
44m 37s
Fashioning Fit: Determining Fit Through Data - Liza Kindred, David Whittemore, Gina Mancuso, and Rasmus Thofte
41m 29s
From Runway to Database, the Season's Hottest Fashion: Data - Rachel Kalmar
41m 18s
How Public Data Creates Revenue for a Scandinavian Retailer - Majken Sander
43m 5s
Generating Possible A/B Tests for Uber Via a City Simulation Framework - Bradley Voytek
40m 41s
The State GeoSpatial BigData - Mansour Raad
45m 36s
Architecting World's Largest Biometric Identity System - Aadhaar Experience - Pramod Varma
52m 42s
Pairing EMR Data with an Open Commons to Engage Communities, Provide Work Force Development and Predict Community Health Futures - Brigitte Piniewski
43m 8s
Nanocubes: Interactive Visual Exploration of Large, Geospatial, Temporal Datasets - Lauro Lins
21m 44s
Data Science at the Command Line - Jeroen Janssens - Part 1
44m 54s
Data Science at the Command Line - Jeroen Janssens - Part 2
36m 16s
Data Science at the Command Line - Jeroen Janssens - Part 3
41m 5s
Data Science at the Command Line - Jeroen Janssens - Part 4
46m 5s
Becoming a Scalable Data Scientist - Alice Zheng
1h 6m 30s
All the Data and Still Not Enough! - Claudia Perlich
41m 37s
The Great Debate: If You Can't Code, You Can't Be a Data Scientist - Joseph Adler, Hilary Mason, Scott Nicholson, Lucian Lita, and Roger Magoulas
37m 58s
Data Science Bootcamp - Laurie Skelly
41m 24s
The Day Zach Galifianakis Saved Healthcare - Chris Harland
33m 33s
Computing Professional Identity for the Economic Graph - Vitaly Gordon
42m 52s
Multi-language Data Science with IPython, IJulia, IR, and Friends - Brian Granger and Fernando Pérez
40m 58s
Using Data Science on Internet Search Behavior as a Proxy for Human Behavior - Juan Miguel Lavista
26m 21s
AI in 2014: Progress and Problems - Beau Cronin
40m 32s
Big Data Anti-Patterns - Douglas Moore
39m 24s
Machine Learning system architecture – Microsoft Translator, a Case Study - Vishal Chowdhary
37m 28s
Secure Machine Learning - Bahman Bahmani
40m 10s
Fashioning Data: The Balance Between Creativity and Data-Driven Decisions - Karen Moon, Vijay Subramanian, and Liza Kindred
40m 3s
Distributed Gradient Boosting Machine - Cliff Click
38m 10s
Deploying and Evaluating Data Products - Josh Levy
28m 11s
D3.js Tutorial - D3 For Everyone! - Sebastian Gutierrez - Part 1
46m 35s
D3.js Tutorial - D3 For Everyone! - Sebastian Gutierrez - Part 2
52m 20s
D3.js Tutorial - D3 For Everyone! - Sebastian Gutierrez - Part 3
45m 47s
D3.js Tutorial - D3 For Everyone! - Sebastian Gutierrez - Part 4
50m 11s
Visual Change: The Power of Scaled Data Visualization in Action - Nathan Shetterley, Joshua Patterson, Allan Enemark, and Kathleen Moynahan
38m 26s
The Future of Storytelling in Data Communication - Andrew Hill
35m 54s
Graphistry: Scaling Visual Exploration with GPUs and Design - Leo Meyerovich
21m 0s
Design and Data, A Human Centered Approach to Analysis, Experiment Design, and Visualization - Arianna McClain and Alisa Lemberg
37m 29s
Visualization Typography: Designing Legends, Labels, Titles, and Text - Trina Chiasson
32m 12s
Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin and Helena Edelson - Part 1
37m 45s
Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin and Helena Edelson - Part 2
43m 2s
Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin and Helena Edelson - Part 3
50m 56s
Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin and Helena Edelson - Part 4
43m 11s
Tackling Data Curation in Three Generations - Michael Stonebraker
40m 20s
Advantages of a Domain-Specific Language Approach to Data Transformation - Joe Hellerstein and Sean Kandel
43m 41s
Stories from the Trenches: The Challenges of Building an Analytics Stack - Fangjin Yang and Xavier Léauté
36m 57s
Tachyon: A Memory Centric Storage System for Big Data Computing - Haoyuan Li
40m 8s
Anomaly Detection with Apache Spark - Sean Owen
32m 56s
Mixing Structured Data and Analytics with Spark SQL - Michael Armbrust
51m 54s
Interactive Visual Data Exploration with Spark - Hossein Falaki
40m 12s
Open Source Real Time BI using Storm, Hadoop, Titan, Druid & D3 - Anil Madan
50m 36s
Highly Scalable Tile-Based Visualization for Exploratory Data Analysis - David Jonker and Rob Harper
37m 35s
Building A Data Platform - Stephen O'Sullivan, John Akred, and Richard Williamson - Part 1
49m 32s
Building A Data Platform - Stephen O'Sullivan, John Akred, and Richard Williamson - Part 2
38m 49s
Building A Data Platform - Stephen O'Sullivan, John Akred, and Richard Williamson - Part 3
46m 22s
Building A Data Platform - Stephen O'Sullivan, John Akred, and Richard Williamson - Part 4
43m 41s
From Raw Data to Analytics with No ETL - Marcel Kornacker and Lenni Kuff
40m 27s
SQL on Everything, in Memory - Julian Hyde
40m 6s
From Oracle to Hadoop - Guy Harrison, David Robson, and Kathleen Ting
37m 59s
Hive on Apache Tez: Benchmarked at Yahoo! Scale - Mithun Radhakrishnan
45m 52s
Scaling Storm: Cluster Sizing and Performance Optimization - P. Taylor Goetz
39m 46s
Building Real-time Data Products at LinkedIn with Apache Samza - Martin Kleppmann
49m 42s
HBase: Where Online Meets Low Latency - Nick Dimiduk and Nicolas Liochon
36m 3s
Apache HBase Application Archetypes - Jonathan Hsieh and Lars George
48m 29s
Hadoop Operations - Best Practices from the Field - Chris Nauroth and Suresh Srinivas
40m 32s
Resource Management with YARN - Anubhav Dhoot
40m 2s
Bulk Loading Your Big Data into Apache HBase, a Full Walkthrough - Jean-Daniel Cryans
35m 57s
An Independent Comparison of Open Source SQL-on-Hadoop - Greg Rahn
41m 42s
Bringing PyData to Impala - Uri Laserson
28m 45s
Architectural Considerations for Hadoop Applications - Mark Grover, Jonathan Seidman, Gwen Shapira, and Ted Malaska - Part 1
36m 6s
Architectural Considerations for Hadoop Applications - Mark Grover, Jonathan Seidman, Gwen Shapira, and Ted Malaska - Part 2
50m 19s
Architectural Considerations for Hadoop Applications - Mark Grover, Jonathan Seidman, Gwen Shapira, and Ted Malaska - Part 3
42m 30s
Architectural Considerations for Hadoop Applications - Mark Grover, Jonathan Seidman, Gwen Shapira, and Ted Malaska - Part 4
42m 38s
Getting Started with HBase Application Development - Sridhar Reddy and Carol McDonald - Part 1
39m 35s
Getting Started with HBase Application Development - Sridhar Reddy and Carol McDonald - Part 2
35m 4s
Getting Started with HBase Application Development - Sridhar Reddy and Carol McDonald - Part 3
51m 47s
Getting Started with HBase Application Development - Sridhar Reddy and Carol McDonald - Part 4
56m 50s
How Goldman Sachs is Using Knowledge to Create an Information Edge - Peter Ferns
16m 54s
Customer Intelligence: Harnessing Elephants at Transamerica - Stephen Lloyd, Vishal Bamba, and David Beaudoin
42m 36s
Transitioning from Original Big Data to the New Big Data: L.L.Bean’s Journey - Chris Wilson and Doug Bryan
42m 36s
Unlocking Big Data at CERN - Matthias Braeger and Manish Devgan
41m 13s
Big Data Modeling: How FICO is Turning DBAs and into Data Engineers - Lelanie Moll, Deb Brooks, and Silaphet Mounkhaty
39m 34s
How LinkedIn Democratizes Big Data Visualization - Praveen Neppalli Naga, Chi-Yi Kuan, and Jonathan Wu
40m 21s
Better Care with Big Data: A Panel Discussion - Ryan Goldman, Ryan Brush, Sabrina Dahlgren, Aashima Gupta, and Michael Thompson
38m 28s
Renaissance in Medicine: Next-Generation Big Data Workloads - Allen Day
40m 4s
Image Processing on Hadoop - Ailey Crow
39m 18s
The Next Generation of Big Data in the Cloud - Daniel Weeks
41m 17s
Building an Enterprise Data Hub to Bridge the Gap Between Business and IT - Sabrina Dahlgren and Rajiv Synghal
37m 42s
Better Accountability Through Open Data - Merici Vinton and Micheál Keane
38m 18s
Wonk, Meet Geek - Jim Adler
36m 56s
You Have Zero Privacy, You Own Your Data, and Other Myths - Gilad Rosner
37m 44s
Homelessness Prevention by the Numbers - Stefan Heeke and Adeen Flinker
44m 24s
Why Big Data Needs Thick Data - Tricia Wang and Matt LeMay
38m 55s
Connectivity, Real-Time Data, and Edge Analytics to Enable Intelligent Machines for the Industrial Internet - Alisher Maksumov and Jean Lau
48m 12s
Data is a Local Problem - Alasdair Allan
39m 29s
Super Simple Internet of Things Backend: Persistence Post Hadoop with Crate Data - Jodok Batlogg
26m 32s
SmartCity StreamApp: An Internet of Things Service for Real-time Traffic Management - Damian Black
54m 21s

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