Skip to Content conference Strata Conference New York + Hadoop World 2014: Video Compilation November 2014
Beginner to intermediate
142h 15m
English
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional) Course outline Business & Industry 14h 30m
Building Privacy Protected Data Systems - Ari Gesher, John Grant, and Courtney Bowman - Part 149m 28s
Building Privacy Protected Data Systems - Ari Gesher, John Grant, and Courtney Bowman - Part 256m 4s
Building Privacy Protected Data Systems - Ari Gesher, John Grant, and Courtney Bowman - Part 339m 44s
Building Privacy Protected Data Systems - Ari Gesher, John Grant, and Courtney Bowman - Part 446m 44s
Just Enough Math - Paco Nathan and Allen Day - Part 141m 36s
Just Enough Math - Paco Nathan and Allen Day - Part 244m 25s
Just Enough Math - Paco Nathan and Allen Day - Part 351m 45s
Just Enough Math - Paco Nathan and Allen Day - Part 452m 30s
Solving the Right Problem - Max Shron and Sasha Laundy43m 22s
Transforming to a Data Driven Operations Model - Denise Asplund37m 49s
From Experiments to Insights at Pinterest - Andrea Burbank38m 5s
Case Study: -A Forensic Look at Success and Failure of Predictive Analytics in Healthcare - Eugene Kolker31m 52s
The Open Data 500: Building Businesses on Free Government Data - Joel Gurin and Laura Manley34m 51s
Decided by Data: Case Studies from a Data Driven Product Culture - Nellwyn Thomas44m 3s
Preemptive Shipping: How Gilt Predicts Which Customers Will Buy Products It Has Never Sold Before - Igor Elbert45m 11s
What are VCs Really Looking For? - Michael Dauber, Renee DiResta, Matt Turck, James Cham, and Jake Flomenberg42m 27s
PDF Prison Break: Freeing Data, Empowering Experts at Edmunds.com - John Akred and Karim Qazi44m 37s
Fashioning Fit: Determining Fit Through Data - Liza Kindred, David Whittemore, Gina Mancuso, and Rasmus Thofte41m 29s
From Runway to Database, the Season's Hottest Fashion: Data - Rachel Kalmar41m 18s
How Public Data Creates Revenue for a Scandinavian Retailer - Majken Sander43m 5s
Data Science at the Command Line - Jeroen Janssens - Part 144m 54s
Data Science at the Command Line - Jeroen Janssens - Part 236m 16s
Data Science at the Command Line - Jeroen Janssens - Part 341m 5s
Data Science at the Command Line - Jeroen Janssens - Part 446m 5s
Becoming a Scalable Data Scientist - Alice Zheng1h 6m 30s
All the Data and Still Not Enough! - Claudia Perlich41m 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 Magoulas37m 58s
Data Science Bootcamp - Laurie Skelly41m 24s
The Day Zach Galifianakis Saved Healthcare - Chris Harland33m 33s
Computing Professional Identity for the Economic Graph - Vitaly Gordon42m 52s
Multi-language Data Science with IPython, IJulia, IR, and Friends - Brian Granger and Fernando Pérez40m 58s
Using Data Science on Internet Search Behavior as a Proxy for Human Behavior - Juan Miguel Lavista26m 21s
AI in 2014: Progress and Problems - Beau Cronin40m 32s
Big Data Anti-Patterns - Douglas Moore39m 24s
Machine Learning system architecture – Microsoft Translator, a Case Study - Vishal Chowdhary37m 28s
Secure Machine Learning - Bahman Bahmani40m 10s
Fashioning Data: The Balance Between Creativity and Data-Driven Decisions - Karen Moon, Vijay Subramanian, and Liza Kindred40m 3s
Distributed Gradient Boosting Machine - Cliff Click38m 10s
Deploying and Evaluating Data Products - Josh Levy28m 11s
Design & Interfaces 5h 59m
Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin and Helena Edelson - Part 137m 45s
Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin and Helena Edelson - Part 243m 2s
Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin and Helena Edelson - Part 350m 56s
Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin and Helena Edelson - Part 443m 11s
Tackling Data Curation in Three Generations - Michael Stonebraker40m 20s
Advantages of a Domain-Specific Language Approach to Data Transformation - Joe Hellerstein and Sean Kandel43m 41s
Stories from the Trenches: The Challenges of Building an Analytics Stack - Fangjin Yang and Xavier Léauté36m 57s
Tachyon: A Memory Centric Storage System for Big Data Computing - Haoyuan Li40m 8s
Anomaly Detection with Apache Spark - Sean Owen32m 56s
Mixing Structured Data and Analytics with Spark SQL - Michael Armbrust51m 54s
Interactive Visual Data Exploration with Spark - Hossein Falaki40m 12s
Open Source Real Time BI using Storm, Hadoop, Titan, Druid & D3 - Anil Madan50m 36s
Highly Scalable Tile-Based Visualization for Exploratory Data Analysis - David Jonker and Rob Harper37m 35s
Building A Data Platform - Stephen O'Sullivan, John Akred, and Richard Williamson - Part 149m 32s
Building A Data Platform - Stephen O'Sullivan, John Akred, and Richard Williamson - Part 238m 49s
Building A Data Platform - Stephen O'Sullivan, John Akred, and Richard Williamson - Part 346m 22s
Building A Data Platform - Stephen O'Sullivan, John Akred, and Richard Williamson - Part 443m 41s
From Raw Data to Analytics with No ETL - Marcel Kornacker and Lenni Kuff40m 27s
SQL on Everything, in Memory - Julian Hyde40m 6s
From Oracle to Hadoop - Guy Harrison, David Robson, and Kathleen Ting37m 59s
Hive on Apache Tez: Benchmarked at Yahoo! Scale - Mithun Radhakrishnan45m 52s
Scaling Storm: Cluster Sizing and Performance Optimization - P. Taylor Goetz39m 46s
Building Real-time Data Products at LinkedIn with Apache Samza - Martin Kleppmann49m 42s
HBase: Where Online Meets Low Latency - Nick Dimiduk and Nicolas Liochon36m 3s
Apache HBase Application Archetypes - Jonathan Hsieh and Lars George48m 29s
Hadoop Operations - Best Practices from the Field - Chris Nauroth and Suresh Srinivas40m 32s
Resource Management with YARN - Anubhav Dhoot40m 2s
Bulk Loading Your Big Data into Apache HBase, a Full Walkthrough - Jean-Daniel Cryans35m 57s
An Independent Comparison of Open Source SQL-on-Hadoop - Greg Rahn41m 42s
Bringing PyData to Impala - Uri Laserson28m 45s
Architectural Considerations for Hadoop Applications - Mark Grover, Jonathan Seidman, Gwen Shapira, and Ted Malaska - Part 136m 6s
Architectural Considerations for Hadoop Applications - Mark Grover, Jonathan Seidman, Gwen Shapira, and Ted Malaska - Part 250m 19s
Architectural Considerations for Hadoop Applications - Mark Grover, Jonathan Seidman, Gwen Shapira, and Ted Malaska - Part 342m 30s
Architectural Considerations for Hadoop Applications - Mark Grover, Jonathan Seidman, Gwen Shapira, and Ted Malaska - Part 442m 38s
Getting Started with HBase Application Development - Sridhar Reddy and Carol McDonald - Part 139m 35s
Getting Started with HBase Application Development - Sridhar Reddy and Carol McDonald - Part 235m 4s
Getting Started with HBase Application Development - Sridhar Reddy and Carol McDonald - Part 351m 47s
Getting Started with HBase Application Development - Sridhar Reddy and Carol McDonald - Part 456m 50s
How Goldman Sachs is Using Knowledge to Create an Information Edge - Peter Ferns16m 54s
Customer Intelligence: Harnessing Elephants at Transamerica - Stephen Lloyd, Vishal Bamba, and David Beaudoin42m 36s
Transitioning from Original Big Data to the New Big Data: L.L.Bean’s Journey - Chris Wilson and Doug Bryan42m 36s
Unlocking Big Data at CERN - Matthias Braeger and Manish Devgan41m 13s
Big Data Modeling: How FICO is Turning DBAs and into Data Engineers - Lelanie Moll, Deb Brooks, and Silaphet Mounkhaty39m 34s
How LinkedIn Democratizes Big Data Visualization - Praveen Neppalli Naga, Chi-Yi Kuan, and Jonathan Wu40m 21s
Better Care with Big Data: A Panel Discussion - Ryan Goldman, Ryan Brush, Sabrina Dahlgren, Aashima Gupta, and Michael Thompson38m 28s
Renaissance in Medicine: Next-Generation Big Data Workloads - Allen Day40m 4s
Image Processing on Hadoop - Ailey Crow39m 18s
The Next Generation of Big Data in the Cloud - Daniel Weeks41m 17s
Building an Enterprise Data Hub to Bridge the Gap Between Business and IT - Sabrina Dahlgren and Rajiv Synghal37m 42s
Law, Ethics & Open Data 3h 16m
Enterprise Adoption 1h 48m
Hardcore Data Science 5h 6m
Data-Driven Business Day 5h 27m
Industrial Internet 5h 46m
Got the T-shirt: Real Experiences from a Hadoop Veteran - Jim Scott43m 44s
See the Fastest Spark-Powered Disparate Data Blending & Analysis Solution - Vaibhav Nivargi35m 12s
Disrupting the Traditional Analyst Workflow with Platfora and Spark - Peter Schlampp and Ed Smith40m 15s
Big Data Architectural Patterns - Todd Papaioannou39m 38s
An End-to-End Approach to Offloading the Data Warehouse with Hadoop - Jorge A Lopez35m 10s
Global Hadoop: Storage and Compute Challenges in Multi-Data Center Deployments - Jagane Sundar and Brett Rudenstein39m 59s
Using Graph to Discover Unseen Relationships in Big Data - Mike Hoskins42m 43s
Hadoop Effortlessly: A Data Inventory is Key to Data Self-service - Moderated by: Alex Gorelik - Panelists: Suresh Srinivas, Mike Sutten, John Mount, Clark Farrey, and Sunil Soares46m 35s
Building Real-Time Platforms with MemSQL and Apache Spark - Eric Frenkiel31m 58s
Unlocking Hadoop’s Potential with YARN - Sanjay Radia41m 21s
Real-time streaming and analytics with Amazon Elastic MapReduce and Amazon Kinesis - Steve McPherson33m 0s
NoSQL Solutions for Big Data Problems - Don Pinto38m 24s
Big Data SQL and Query Franchising: An Architecture for SQL Beyond Hadoop - Dan McClary38m 39s
Drive Data Quality at Your Company: Create a Data Lake - George Corugedo37m 14s
Important Advances in Hadoop: A Panel Discussion - Joey Jablonski, Armando Costa, Jim Burmingham, and Rob Johnson46m 17s
Cloud Machine Learning - Joseph Sirosh38m 35s
Embracing Diversity - Sid Sipes33m 16s
The Art of Prediction: Seamless Visualization and Modeling With Hadoop - Adam Pilz31m 37s
Extending "Variety" of Data to "Variety" of Users - Tina Groves36m 38s
How to Architect Big Data Apps with the Lambda Architecture - with Real Work Examples on Merging Batch and Real-Time Processing - Altan Khendup and Ron Bodkin42m 30s
What do Al Capone & Hadoop Have in Common? Visualizing Data at Scale – Making Sense Out of Big Data - James Dixon41m 19s
Distributed R - A Scalable and High-performance Platform for R - Sunil Venkayala and Indrajit Roy39m 6s
Getting Big Data to Work: Agile Data Transformation in Hadoop - Stephanie McReynolds, Xavier Quintuna, Shirshanka Das, Charlie Crocker, and Anna Dorofiyenko40m 25s
Now Playing at Netflix: Advanced Decision-Making with Hadoop, Starring MicroStrategy - Michael Hiskey25m 30s
Analytics the Way Nature Intended - Donald Farmer40m 23s
Western Union: Implementing a Hadoop-based Enterprise Data Hub with Informatica - Pravin Darbare and Sumeet Agrawal41m 48s
For Red Hat, it's 1994 All Over Again - Sarangan Rangachari37m 10s
Hadoop Responsibly with Big Data Governance - Moderated by: Barry Devlin - Panelists: Sunil Soares, Joseph Dossantos, and Jay Zaidi43m 8s
Big Content: Finding the Why Behind the What - Sid Probstein34m 8s
Solutions Showcase Theater 8h 52m
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