Gain a clear perspective on the future of big data—and all the analytics, architectures, techniques, tools, and technologies you need to use data successfully. With this complete video compilation, you’ll get a front-row seat to the keynotes, workshops, and sessions at O’Reilly’s Strata Conference Santa Clara 2014. You can download these videos or stream them through our HD player.
Gain a clear perspective on the future of big data—and all the analytics, architectures, techniques, tools, and technologies you need to use data successfully. With this complete video compilation, you’ll get a front-row seat to the keynotes, workshops, and sessions at O’Reilly’s Strata Conference Santa Clara 2014. You can download these videos or stream them through our HD player.
Tutorials
Introduction to Machine Learning with IPython and scikit-learn - Olivier Grisel - Part 1
Introduction to Machine Learning with IPython and scikit-learn - Olivier Grisel - Part 2
Introduction to Machine Learning with IPython and scikit-learn - Olivier Grisel - Part 3
Introduction to Machine Learning with IPython and scikit-learn - Olivier Grisel - Part 4
IPython In Depth - Brian Granger and Fernando Prez - Part 1
IPython In Depth - Brian Granger and Fernando Prez - Part 2
IPython In Depth - Brian Granger and Fernando Prez - Part 3
Building a Data Platform - John Akred, Richard Williamson, and Stephen O’Sullivan - Part 1
Building a Data Platform - John Akred, Richard Williamson, and Stephen O’Sullivan - Part 2
Building a Data Platform - John Akred, Richard Williamson, and Stephen O’Sullivan - Part 3
Building a Data Platform - John Akred, Richard Williamson, and Stephen O’Sullivan - Part 4
Design Thinking for Dummies (Data Scientists) - Michael Stringer, Dean Malmgren, and Laurie Skelly - Part 1
Design Thinking for Dummies (Data Scientists) - Michael Stringer, Dean Malmgren, and Laurie Skelly - Part 2
Design Thinking for Dummies (Data Scientists) - Michael Stringer, Dean Malmgren, and Laurie Skelly - Part 3
Dissecting Data Science Algorithms using Spreadsheets - John Foreman - Part 1
Dissecting Data Science Algorithms using Spreadsheets - John Foreman - Part 2
Dissecting Data Science Algorithms using Spreadsheets - John Foreman - Part 3
Dissecting Data Science Algorithms using Spreadsheets - John Foreman - Part 4
Introduction to Hadoop 2.0 - Rich Raposa - Part 1
Introduction to Hadoop 2.0 - Rich Raposa - Part 2
Introduction to Hadoop 2.0 - Rich Raposa - Part 3
Introduction to Hadoop 2.0 - Rich Raposa - Part 4
Large-scale Machine Learning Cookbook using GraphLab - Carlos Guestrin - Part 1
Large-scale Machine Learning Cookbook using GraphLab - Carlos Guestrin - Part 2
Large-scale Machine Learning Cookbook using GraphLab - Carlos Guestrin - Part 3
Large-scale Machine Learning Cookbook using GraphLab - Carlos Guestrin - Part 4
From Scattered to Scatterplots: An Introduction to d3.js - Scott Murray - Part 1
From Scattered to Scatterplots: An Introduction to d3.js - Scott Murray - Part 2
From Scattered to Scatterplots: An Introduction to d3.js - Scott Murray - Part 3
From Scattered to Scatterplots: An Introduction to d3.js - Scott Murray - Part 4
Effective Data Science With Scalding - Vitaly Gordon - Part 1
Effective Data Science With Scalding - Vitaly Gordon - Part 2
Big Data Workflows on Mesos Clusters - Florian Leibert, Paco Nathan, and Benjamin Hindman - Part 1
Big Data Workflows on Mesos Clusters - Florian Leibert, Paco Nathan, and Benjamin Hindman - Part 2
Big Data Workflows on Mesos Clusters - Florian Leibert, Paco Nathan, and Benjamin Hindman - Part 3
Big Data Workflows on Mesos Clusters - Florian Leibert, Paco Nathan, and Benjamin Hindman - Part 4
Adviser: Learning How to get A Second Opinion on Your Analysis when it’s Important to get it Right - Leland Wilkinson - Part 1
Adviser: Learning How to get A Second Opinion on Your Analysis when it’s Important to get it Right - Leland Wilkinson - Part 2
Adviser: Learning How to get A Second Opinion on Your Analysis when it’s Important to get it Right - Leland Wilkinson - Part 3
Building Real-Time Apps with Apache HBase - Ronan Stokes - Part 1
Building Real-Time Apps with Apache HBase - Ronan Stokes - Part 2
Building Real-Time Apps with Apache HBase - Ronan Stokes - Part 3
Building Real-Time Apps with Apache HBase - Ronan Stokes - Part 4
Data Transformation: Skills of the Agile Data Wrangler - Joe Hellerstein, and Jeffrey Heer - Part 1
Data Transformation: Skills of the Agile Data Wrangler - Joe Hellerstein, and Jeffrey Heer - Part 2
Hardcore Data Science
Hardcore Data Science Opening Remarks - Ben Lorica
Extreme Machine Learning - Alexander Gray
What the #@)*$ is Big Data? A Holistic View of Data and Algorithms - Alice Zheng
Overcoming the Barriers to Production-Ready Machine-Learning Workflows - Henrik Brink, and Joshua Bloom
Anomaly Detection - Ted Dunning
Neural Networks for Machine Perception - Ilya Sutskever
The Predictive Business - Kira Radinsky
Can We Make Big Data Management Easier? - Magda Balazinska
Design Challenges for Real Predictive Platforms - Max Gasner
Machine Learning Gremlins - Ben Hamner
Algebra for Scalable Analytics - Oscar Boykin
Data-Driven Business Day
Introduction to Data Driven Business Day - Alistair Croll
Those Numbers Wont Measure Themselves - Farrah Bostic
Social Data Intelligence: Integrating Social and Enterprise Data for Competitive Advantage - Susan Etlinger
Open Data: Its Not Just for Governments - Jen van der Meer
The Insight Economy - Krista Schnell
9 Levers for Converting Big Data and Analytics into Results - Christy Maver
Deploying a Data Sciences Team – The Promise and the Pitfalls - Diane Chang
Sensing Best Practices - Ben Waber
Leveraging Value from Open Data Through Collaboration -Peter Pirnejad
Becoming a Learning Organization: From Data Teams to Corporate Influence - Pamela Peele
Making Big Data Small - Baron Schwartz
Big Data Meets Big Infrastructure: Going Underground in One Major European City - Narendra Mulani
The Era of Data-Powered Government - Beth Blauer
TripIt Uses Data to Organize Itineraries, No Matter Where You Book - Edith Harbaugh
Keynotes
Crossing the Chasm: What’s New, What’s Not - Geoffrey Moore
Evolution from Apache Hadoop to the Enterprise Data Hub - Amr Awadallah
Collecting Massive Data via Crowdsourcing - John Schitka
Empowering Personalized Learning with Big Data - Ramona Pierson
Hadoop in 5 Minutes or Less - John Schroeder
People are Data Too - Farrah Bostic
Bringing Big Data to One Billion People - Quentin Clark
Small Data in Sports: Little Differences that Mean Big Outcomes - David Epstein
The Art of Good Practice - Rodney Mullen
Big Data Moonshots and Ground Control - Joe Hellerstein and Tutti Taygerly
Data Science and Smart Systems: Creating the Digital Brain - Kaushik Das
How Companies are Using Spark, and Where the Edge in Big Data Will Be - Matei Zaharia
In-Hadoop Analytics: Bringing analytics to big data - Anjul Bhambhri
Record Linkage and Other Statistical Models for Quantifying Conflict Casualties in Syria - Megan Price
Ben Fry Keynote
Survivorship Bias and the Psychology of Luck - David McRaney
Sessions
Apache Hadoop and the Emergence of the Enterprise Data Hub - Eli Collins
Information Visualization for Large-Scale Data Workflows - Michael Conover
Adaptive Adversaries: Building Systems to Fight Fraud and Cyber Intruders - Ari Gesher
Fighting Global Cybercrime and BotNets using Big Data - Bryan Hurd and Herain Oberoi
Navigating the Big Data Vendor Landscape - Edd Dumbill
Best Practices for Hadoop In Production - Panel Discussion Facilitated by Forrester Analyst - Mike Gualtieri
Thorn in the Side of Big Data: Too Few Artists - Chris Re
10,000: The Most Dangerous Number in Sports - David Epstein
You’re Halfway There: Moving from Insight to Action - Bob Filbin
Building the Next Generation Data Architecture with Hadoop, Data Warehouse Data Discovery Platform - Bill Franks
Minority Report Meets Big Data: Touch and Interactive Big Data is Here - Justin Langseth, and Eva Andreasson
Machine Learning for Social Change - Fernand Pajot
Harness Data in Real-Time with Infinite Storage - Yuvaraj Athur Raghuvir
You Don’t Need to Boil the Big Data Ocean with Hadoop - Ben Werther, and Sanjay Mathur
Predictive Modeling in the Cloud with Scikit-learn and IPython - Olivier Grisel
Mining Student Notes in Real Time to Provide Study Guides - Perry Samson
Thinking with Data - Max Shron
Building a Data-centered Data Center for Agile Development - Justin Makeig
Evolving Data Governance for the Big Data Enterprise - Scott Lee and Rachel Haines
Making Big Data Cost Effective in a Bare Metal Cloud - Harold Hannon
How Evernote Does Conversion Using Hadoop Analytics - Damon Cool
Crowdsourcing at Locu: How I Learned to Stop Worrying and Love the Crowd - Adam Marcus
Building a Lightweight Discovery Interface for Chinese Patents - Eric Pugh
Superconductor: Scaling Charts with Design and GPUs - Leo Meyerovich
Break Down Data Silos with Apache Accumulo - Adam Fuchs
Organizing Big Data with the Crowd - Lukas Biewald
Scalable PostgreSQL as your data platform - Ben Redman
Unlocking the Secrets of Gertrude Stein - Ian Timourian
A Different Look at Data and Security - Learning to Live with Fear - Pablos Holman
Stand Back, I’m Going To Try Science! - Rachel Poulsen and John Akred
Collaborative Advanced Analytics For Big Data - Bruno Aziza
Network Science Made Simple: SNA for Pie Chart Makers - Marc Smith
How Twitter Monitors Millions of Time-series - Yann Ramin
Harvard’s Clean Energy Project: Big Data Maps To Renewable Energy - Kai Trepte
Working With Time Series Data Using Apache Cassandra - Patrick McFadin
Friending Graph Analytics: Large-Scale Graph Processing Made Easy - Ted Willke
Transforming Search Engine Marketing at Ask.com - Mohit Sati
Music Videos and Gastronomification for Big Data Analysis - Brian Abelson, and Thomas Levine
Soylent Mean: Data Science is Made of People - Cameran Hetrick and Kimberly Stedman
Big Data: Beyond Bare-Metal? - Mike Wendt
Secrets of Apache Hive Queries and UDFs - Shrikanth Shankar
Twitter and HP HAVEn: The Big Data Big Picture - Sanjay Goil
Data Science How to Build and Deploy a Team of Data Scientists - Diane Chang, Steven Hillion, Nick Kolegraff, and Matthew Gee
The Netflix Data Platform - A Recipe for High Business Impact - Kurt Brown
Bedtime Stories: Learning from Sleep Data - Monica Rogati
Tracking a Soccer Game with Big Data - Srinath Perera
Data Transformation: A User-Centric Approach to Accessing and Analyzing Big Data - Joe Hellerstein
Apache Hadoop 2.0: Migration from 1.0 to 2.0 - Vinod Kumar Vavilapalli
Getting a Handle on Hadoop and its Potential to Catalyze a New Information Architecture Model - Milan Vaclavik
The Sidekick Pattern: Using Small Data to Increase the Value of Big Data - Abe Gong
Exascale Data Analytics @ Facebook - Sambavi Muthukrishnan
Sending Millions of Surveys Around the World on Mobile Phones - Max Richman
Business Data Lake: An Evolution in Data Infrastructure - Jeffrey Kelly, Steven Hirsch, Steve Jones, and Sabrina Dahlgren
Expressing Yourself in R - Hadley Wickham
Data Journalism - Organized Crime and Corruption Reporting - Drew Sullivan
The Inflection Point - Hadoop and Big Data Analytics - Anjul Bhambhri
Spreadsheets: The Dark Matter of Big Data - Felienne Hermans
Scale-Invariant Intelligence - Vin Sharma
Probabilistic Programming: What, Why, How, and When - Beau Cronin
Beyond Hadoop MapReduce: Interactive Advertising Insights with Shark @ Yahoo! - Nandu Jayakumar and Tim Tully
Machine Learning for Machine Data - David Andrzejewski - Part 1
Machine Learning for Machine Data - David Andrzejewski - Part 2
Lessons from the Trenches: edo Interactive Leverages Hadoop to Build Customer Loyalty - Rob Rosen, and Tim Garnto
The IPython Notebook: Get Close to Your Data with Python and JavaScript - Brian Granger
Government Data on Both Sides of the Bridge - Moderated by: Jesse Robbins - Panelists: Shannon Spanhake and Eddie Tejeda
Enabling Business Transformation with Analytics over Real-time Streaming Data - Anand Venugopal, and Pranay Tonpay
The Next Wave of SQL-on-Hadoop: Building a Virtual EDW on Native Hadoop Data - Marcel Kornacker
How Comcast Turns Big Data into Real-Time Operational Insights - Patrick Shumate
Chicago Bars, Prisoners Dilemma, and Practical Models in Search -Chris Harland
Big Industrial Internet Data: Connecting and Optimizing at New Scales - Steven Gustafson and Parag Goradia - Part 1
Big Industrial Internet Data: Connecting and Optimizing at New Scales - Steven Gustafson, and Parag Goradia - Part 2
FAST and FURIOUS Big Data Analytics Meets Hadoop - Wayne Thompson, and Paul Kent
The Urgent Need to Appify Big Data - Ryan Cunningham
Unboxing Data Startups - Michael Abbott
Apache Hive Stinger: Petabyte Scale SQL, IN Hadoop - Owen O’Malley, and Alan Gates
Querying Petabytes of Data in Seconds - Reynold Xin, and Sameer Agarwal
The Need for Speed Scale: A Database for Real-Time Analytics - Eric Frenkiel
Graph All The Things! 11: Graph Database Use Cases That Aren’t Social - Emil Eifrem
Graph Analysis with One Trillion Edges on Apache Giraph - Avery Ching
Big Data for Big Power: Smart Meters does not mean Smart Grids - Brett Sargent
The Last Mile: Challenges and Opportunities in Data Tools - Wes McKinney
Are We Data Scientists or Data Janitors? - Nenshad Bardoliwalla
Session with Ben Fry
Data for Good - Moderated by: Jake Porway - Panelists: Drew Conway, Rayid Ghani, and Elena Eneva
NonStop HBase - Making HBase Continuously Available for Enterprise Deployment - Jagane Sundar
Apache Mesos as an SDK for Building Distributed Frameworks - Paco Nathan
Agile Analytics - Neal Ford
Socializing Search. Professionally. - Sriram Sankar, and Daniel Tunkelang
Big Data for Better Data Centers - Krishna Raj Raja and Balaji Parimi
One Size Does Not Fit All: Analyzing Data at Scale with AWS - Rahul Pathak
Making Choices: What Kind of Relationship are You Seeking with Your Database? - J.R. Arredondo
StatusWolf: Creating Dashboards That Don’t Suck Using Art and Engineering - Mark Troyer
Real-Time Analytics with NewSQL: Why Hadoop is not enough - Raj Bains
MLbase: Distributed Machine Learning Made Easy - Ameet Talwalkar and Evan Sparks
Real-time Analytics with Open Source Technologies - Fangjin Yang, and Gian Merlino