Strata Conference New York + Hadoop World 2014: Video Compilation

Video description

Use the power of big data to drive business strategy

What happens when cutting-edge data science and new business fundamentals intersect? Find out with this complete video compilation of Strata + Hadoop World 2014 in New York, where you’ll get a front-row seat to every keynote, workshop, and session.

Ten conference tracks were required to capture the most challenging problems and compelling opportunities in data …

Strata Conference New York + Hadoop World 2014: Video Compilation

Video description

Use the power of big data to drive business strategy

Ten conference tracks were required to capture the most challenging problems and compelling opportunities in data today, with presentations from Mike Olson (Cloudera), Kim Rees (Periscopic), Roger Magoulas (O'Reilly), Douglas Merrill (ZestFinance), Amanda Cox (The New York Times), and scores of other experienced data practitioners from finance, media, government, and education.

Download these videos or stream them through our HD player, and gain a clear perspective on the future of big data, including all the analytics, architectures, techniques, tools, and technologies you need to use data successfully.

Tracks include:

Business & Industry: How organizations of all sizes use data to make better decisions
Connected World: Navigating in an always-connected, always-on world
Data Science: Everything from the latest algorithms and advances in machine learning to cultural change and team-building
Design & Interfaces: Capturing user experience, design, new interfaces, and visualization
Law, Ethics & Open Data: Issues on governance, ethics, and compliance in the era of open data
Machine Data: Extracting meaningful insights from data collected and generated by things
Security: Fighting fraud, detecting threats, increasing trust—and securing data
Beyond Hadoop: How tools like Cassandra, Storm, Accumulo, Kafka and Spark fit in the data science toolkit
Hadoop in Action: Real-world case studies of the Hadoop ecosystem in action
The Hadoop Platform: A deep dive into the dominant big data stack, with practical lessons and integration tricks

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Keynotes

Open Standards and the Modern Data Center - Mike Olson

What Would Google Do? Understanding the Future of Big Data - M. C. Srivas

Keynote with Miriah Meyer

Accelerating Parkinson’s Research with Big Data Technologies - Ron Kasabian

Data The New Era of Interactive Storytelling - Sharmila Shahani-Mulligan

Spark Needs a Business Analyst Workflow - Ben Werther

Statistics Without the Agonizing Pain - John Rauser

Pax Data - Eli Collins

The Power of Emotions: When Big Data meets Emotion Data - Rana El Kaliouby

A New Data Science Economy - Joseph Sirosh

Style Stalking: The Stochastic Patterns that Drive Fashion Trends - Karen Moon

Pasta Mathematica - George Legendre

Big Data - 2020 vision - John Schitka

Turning Data into Decisions in a Big Data World - Rachel Hawley

The Hidden Brain - Shankar Vedantam

A Word Too Much Repeated Falls Out of Being - So Why is Big Data Being Talked About so Much? - Paul Zikopoulos

Is Privacy Becoming a Luxury Good? - Julia Angwin

Business Industry

Building Privacy Protected Data Systems - Ari Gesher, John Grant, and Courtney Bowman - Part 1

Building Privacy Protected Data Systems - Ari Gesher, John Grant, and Courtney Bowman - Part 2

Building Privacy Protected Data Systems - Ari Gesher, John Grant, and Courtney Bowman - Part 3

Building Privacy Protected Data Systems - Ari Gesher, John Grant, and Courtney Bowman - Part 4

Just Enough Math - Paco Nathan and Allen Day - Part 1

Just Enough Math - Paco Nathan and Allen Day - Part 2

Just Enough Math - Paco Nathan and Allen Day - Part 3

Just Enough Math - Paco Nathan and Allen Day - Part 4

Solving the Right Problem - Max Shron and Sasha Laundy

Transforming to a Data Driven Operations Model - Denise Asplund

From Experiments to Insights at Pinterest - Andrea Burbank

Case Study: -A Forensic Look at Success and Failure of Predictive Analytics in Healthcare - Eugene Kolker

The Open Data 500: Building Businesses on Free Government Data - Joel Gurin and Laura Manley

Decided by Data: Case Studies from a Data Driven Product Culture - Nellwyn Thomas

Preemptive Shipping: How Gilt Predicts Which Customers Will Buy Products It Has Never Sold Before - Igor Elbert

What are VCs Really Looking For? - Michael Dauber, Renee DiResta, Matt Turck, James Cham, and Jake Flomenberg

PDF Prison Break: Freeing Data, Empowering Experts at Edmunds.com - John Akred and Karim Qazi

Fashioning Fit: Determining Fit Through Data - Liza Kindred, David Whittemore, Gina Mancuso, and Rasmus Thofte

From Runway to Database, the Season’s Hottest Fashion: Data - Rachel Kalmar

How Public Data Creates Revenue for a Scandinavian Retailer - Majken Sander

Connected World

Generating Possible A/B Tests for Uber Via a City Simulation Framework - Bradley Voytek

The State GeoSpatial BigData - Mansour Raad

Architecting World’s Largest Biometric Identity System - Aadhaar Experience - Pramod Varma

Pairing EMR Data with an Open Commons to Engage Communities, Provide Work Force Development and Predict Community Health Futures - Brigitte Piniewski

Nanocubes: Interactive Visual Exploration of Large, Geospatial, Temporal Datasets - Lauro Lins

Data Science

Data Science at the Command Line - Jeroen Janssens - Part 1

Data Science at the Command Line - Jeroen Janssens - Part 2

Data Science at the Command Line - Jeroen Janssens - Part 3

Data Science at the Command Line - Jeroen Janssens - Part 4

Becoming a Scalable Data Scientist - Alice Zheng

All the Data and Still Not Enough! - Claudia Perlich

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

Data Science Bootcamp - Laurie Skelly

The Day Zach Galifianakis Saved Healthcare - Chris Harland

Computing Professional Identity for the Economic Graph - Vitaly Gordon

Multi-language Data Science with IPython, IJulia, IR, and Friends - Brian Granger and Fernando Pérez

Using Data Science on Internet Search Behavior as a Proxy for Human Behavior - Juan Miguel Lavista

AI in 2014: Progress and Problems - Beau Cronin

Big Data Anti-Patterns - Douglas Moore

Machine Learning system architecture – Microsoft Translator, a Case Study - Vishal Chowdhary

Secure Machine Learning - Bahman Bahmani

Fashioning Data: The Balance Between Creativity and Data-Driven Decisions - Karen Moon, Vijay Subramanian, and Liza Kindred

Distributed Gradient Boosting Machine - Cliff Click

Deploying and Evaluating Data Products - Josh Levy

Design Interfaces

D3.js Tutorial - D3 For Everyone! - Sebastian Gutierrez - Part 1

D3.js Tutorial - D3 For Everyone! - Sebastian Gutierrez - Part 2

D3.js Tutorial - D3 For Everyone! - Sebastian Gutierrez - Part 3

D3.js Tutorial - D3 For Everyone! - Sebastian Gutierrez - Part 4

Visual Change: The Power of Scaled Data Visualization in Action - Nathan Shetterley, Joshua Patterson, Allan Enemark, and Kathleen Moynahan

The Future of Storytelling in Data Communication - Andrew Hill

Graphistry: Scaling Visual Exploration with GPUs and Design - Leo Meyerovich

Design and Data, A Human Centered Approach to Analysis, Experiment Design, and Visualization - Arianna McClain and Alisa Lemberg

Visualization Typography: Designing Legends, Labels, Titles, and Text - Trina Chiasson

Hadoop Beyond

Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin and Helena Edelson - Part 1

Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin and Helena Edelson - Part 2

Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin and Helena Edelson - Part 3

Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin and Helena Edelson - Part 4

Tackling Data Curation in Three Generations - Michael Stonebraker

Advantages of a Domain-Specific Language Approach to Data Transformation - Joe Hellerstein and Sean Kandel

Stories from the Trenches: The Challenges of Building an Analytics Stack - Fangjin Yang and Xavier Léauté

Tachyon: A Memory Centric Storage System for Big Data Computing - Haoyuan Li

Anomaly Detection with Apache Spark - Sean Owen

Mixing Structured Data and Analytics with Spark SQL - Michael Armbrust

Interactive Visual Data Exploration with Spark - Hossein Falaki

Open Source Real Time BI using Storm, Hadoop, Titan, Druid D3 - Anil Madan

Highly Scalable Tile-Based Visualization for Exploratory Data Analysis - David Jonker and Rob Harper

Hadoop Platform

Building A Data Platform - Stephen O’Sullivan, John Akred, and Richard Williamson - Part 1

Building A Data Platform - Stephen O’Sullivan, John Akred, and Richard Williamson - Part 2

Building A Data Platform - Stephen O’Sullivan, John Akred, and Richard Williamson - Part 3

Building A Data Platform - Stephen O’Sullivan, John Akred, and Richard Williamson - Part 4

From Raw Data to Analytics with No ETL - Marcel Kornacker and Lenni Kuff

SQL on Everything, in Memory - Julian Hyde

From Oracle to Hadoop - Guy Harrison, David Robson, and Kathleen Ting

Hive on Apache Tez: Benchmarked at Yahoo! Scale - Mithun Radhakrishnan

Scaling Storm: Cluster Sizing and Performance Optimization - P. Taylor Goetz

Building Real-time Data Products at LinkedIn with Apache Samza - Martin Kleppmann

HBase: Where Online Meets Low Latency - Nick Dimiduk and Nicolas Liochon

Apache HBase Application Archetypes - Jonathan Hsieh and Lars George

Hadoop Operations - Best Practices from the Field - Chris Nauroth and Suresh Srinivas

Resource Management with YARN - Anubhav Dhoot

Bulk Loading Your Big Data into Apache HBase, a Full Walkthrough - Jean-Daniel Cryans

An Independent Comparison of Open Source SQL-on-Hadoop - Greg Rahn

Bringing PyData to Impala - Uri Laserson

Hadoop in Action

Architectural Considerations for Hadoop Applications - Mark Grover, Jonathan Seidman, Gwen Shapira, and Ted Malaska - Part 1

Architectural Considerations for Hadoop Applications - Mark Grover, Jonathan Seidman, Gwen Shapira, and Ted Malaska - Part 2

Architectural Considerations for Hadoop Applications - Mark Grover, Jonathan Seidman, Gwen Shapira, and Ted Malaska - Part 3

Architectural Considerations for Hadoop Applications - Mark Grover, Jonathan Seidman, Gwen Shapira, and Ted Malaska - Part 4

Getting Started with HBase Application Development - Sridhar Reddy and Carol McDonald - Part 1

Getting Started with HBase Application Development - Sridhar Reddy and Carol McDonald - Part 2

Getting Started with HBase Application Development - Sridhar Reddy and Carol McDonald - Part 3

Getting Started with HBase Application Development - Sridhar Reddy and Carol McDonald - Part 4

How Goldman Sachs is Using Knowledge to Create an Information Edge - Peter Ferns

Customer Intelligence: Harnessing Elephants at Transamerica - Stephen Lloyd, Vishal Bamba, and David Beaudoin

Transitioning from Original Big Data to the New Big Data: L.L.Bean’s Journey - Chris Wilson and Doug Bryan

Unlocking Big Data at CERN - Matthias Braeger and Manish Devgan

Big Data Modeling: How FICO is Turning DBAs and into Data Engineers - Lelanie Moll, Deb Brooks, and Silaphet Mounkhaty

How LinkedIn Democratizes Big Data Visualization - Praveen Neppalli Naga, Chi-Yi Kuan, and Jonathan Wu

Better Care with Big Data: A Panel Discussion - Ryan Goldman, Ryan Brush, Sabrina Dahlgren, Aashima Gupta, and Michael Thompson

Renaissance in Medicine: Next-Generation Big Data Workloads - Allen Day

Image Processing on Hadoop - Ailey Crow

The Next Generation of Big Data in the Cloud - Daniel Weeks

Building an Enterprise Data Hub to Bridge the Gap Between Business and IT - Sabrina Dahlgren and Rajiv Synghal

Law, Ethics Open Data

Better Accountability Through Open Data - Merici Vinton and Micheál Keane

Wonk, Meet Geek - Jim Adler

You Have Zero Privacy, You Own Your Data, and Other Myths - Gilad Rosner

Homelessness Prevention by the Numbers - Stefan Heeke and Adeen Flinker

Why Big Data Needs Thick Data - Tricia Wang and Matt LeMay

Machine Data

Connectivity, Real-Time Data, and Edge Analytics to Enable Intelligent Machines for the Industrial Internet - Alisher Maksumov and Jean Lau

Data is a Local Problem - Alasdair Allan

Super Simple Internet of Things Backend: Persistence Post Hadoop with Crate Data - Jodok Batlogg

SmartCity StreamApp: An Internet of Things Service for Real-time Traffic Management - Damian Black

Security

Resolving Data Inaccuracy - Mike Armstrong

Big Data vs Zombies: Using Algorithms, Big Data, and Large Scale Distributed Processing to Combat Identity Fraud - Jesse Shaw

Why Should Anyone Care at All about Privacy, Privacy Engineering, or Data? - Michelle Dennedy

Real-Time Cyber Threat Detection with Sqrrl and Spark - Adam Fuchs

Big Data Framework for Anomaly Detection Root Cause Analysis on Streaming Time Series Data - Roy Singh

Enterprise Adoption

In the Data Lake - Barry Devlin

Unseating the Giants - Monte Zweben

What’s Holding Up Your Hadoop? - Eddie Garcia

Spark Camp

Spark Camp - Paco Nathan and Patrick Wendell - Part 1

Spark Camp - Michael Armbrust - Part 2

Spark Camp - Joseph Bradley - Part 3

Spark Camp - Tathagata Das - Part 4

Spark Camp - Sameer Farooqui and Holden Karau - Part 5

Spark Camp - Sameer Farooqui and Holden Karau - Part 6

Spark Camp - Sameer Farooqui and Holden Karau - Part 7

Spark Camp - Sameer Farooqui and Holden Karau - Part 8

Hardcore Data Science

Doing the Impossible (Almost) - Ted Dunning

Tupleware: Redefining Modern Analytics - Tim Kraska

Data Science for Humans, Not Robots - Alice Zheng

Big Data: Efficient Collection and Processing - Anna Gilbert

Computational Problems in Managing Social Information - Jon Kleinberg

Small Data Problems - Kira Radinsky

Building and Deploying Large-scale Machine Learning Pipelines Using the Berkeley Data Analytics Stack - Ben Recht

Learning About Music and Listeners - Brian Whitman

Statistical Topic Modeling - Hanna Wallach

The Aha! Moment: From Data to Insight - Dafna Shahaf

Data-Driven Business Day

Designing for Interruption - Alistair Croll

Check Your Bias, Feed Your Empathy - Farrah Bostic

The Data Lake Dream - Edd Dumbill

Why Marketing’s Approach to Big Data is All Wrong - Jennifer Zeszut

Bigger is Better, but at What Cost? Towards Understanding the Economic Value of Data - Brian d’Alessandro

The Sounds of (Data) Silence - Jana Eggers

Panel: Deciding Better - Joe Caserta, Farrah Bostic, and Halle Tecco

Making Strategic Decisions: Business Requirements for Analytics Projects - Joy Beatty

The Future of Data - Kim Rees

How Goldman Sachs is Using Knowledge to Create an Information Edge - Peter Ferns

The Big (Data) Picture - Rohit Jain

Improving Healthcare Business Strategies through Lean Data Partnerships - Brigitte Piniewski

Building with Data: Lessons from Etsy - Nellwyn Thomas

Reducing Employee Turnover by 75%: Applying Data and Predictive Analytics to Hiring and Team Assembly - Michael Rosenbaum

Better Accountability Through Open Data - Merici Vinton

The Unit: Building Data Science Teams the Special Operations Way - Amy Gaskins

MapReduce ETL Processing for Healthcare Process Improvement Dashboards - Mary Ann Wayer

Industrial Internet

Industrial Internet Day Opening Remarks - Jon Bruner

Taking the Industrial Internet to the Ends of the Earth - Daniel Koffler

Oceans 2.0: The Last Remaining Wild West - Ami Daniel

Big Data Analytics: Enabling Innovation while Reducing Risk - David Simchi-Levi

Video Analytics in the Big Fast Streaming Data Era - Victor Fang and Yu Cao

The Industrial Internet and the Data Revolution - Nathan Oostendorp

Bring Your Own Internet (of Things) - Alasdair Allan

IIOT Applied: 10 Things I Learned While Deploying an IIoT Machine Learning System - Cameron Turner

Industrial Internet Day Closing Panel - Jon Bruner, Leo Spiegel, Edy Liongosari, and Mark Grabb

PyData at Strata

IPython - Brian Granger and Fernando Pérez

Collaborative Data Science with coLaboratory - Kayur Patel and Kester Tong

Intro to NumPy and matplotlib - Jake Vanderplas - Part 1

Intro to NumPy and matplotlib - Jake Vanderplas - Part 2

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

Visualizing Data with Blaze and Bokeh - Andy Terrel

Interactive Visualization with Bokeh - Peter Wang

SciPy – An Exploration of the Most Useful Bits - Travis Oliphant - Part 1

SciPy – An Exploration of the Most Useful Bits - Travis Oliphant - Part 2

New and Upcoming Features in Pandas - Wes McKinney

High Performance Python - Trent Nelson