Explore the changes brought to technology and business by big data, data science, and pervasive computing with this complete video compilation of workshops and sessions from Strata Conference New York and Hadoop World 2012. With well over 100 hours of content, this video package includes the latest information on the skills, tools, and technologies you need to make data work—and build a data-driven …
Explore the changes brought to technology and business by big data, data science, and pervasive computing with this complete video compilation of workshops and sessions from Strata Conference New York and Hadoop World 2012. With well over 100 hours of content, this video package includes the latest information on the skills, tools, and technologies you need to make data work—and build a data-driven business.
Thinking Big Together: Driving the Future of Data Science - Annika Jimenez and Anthony Goldbloom
The End of the Data Warehouse - Ben Werther
Beyond Batch - Doug Cutting
Finance vs. Machine Learning - Cathy O’Neil
From Traditional Database to Big Data Platform - Irfan Khan
Moneyball for New York City - Michael Flowers
The Democratization of Big Data: Bringing Hadoop to the Masses - James Markarian
Hadoop: Thinking Big - John Schroeder
Big Answers - Mike Olson
The Composite Database - Rich Hickey
The Human Face of Big Data - Rick Smolan
Are We Really Winning the Information Revolution? - Samantha Ravich
Big Data Direct The Era of Self-driven Big Data Exploration - Sharmila Shahani-Mulligan
Bringing the ‘So What’ to Big Data - Tim Estes
A Hands-on Introduction to Cross-disciplinary Analytics With Python - Part 1 - Roy Hyunjin Han
A Hands-on Introduction to Cross-disciplinary Analytics With Python - Part 2 - Roy Hyunjin Han
A Hands-on Introduction to Cross-disciplinary Analytics With Python - Part 3 - Roy Hyunjin Han
A Hands-on Introduction to Cross-disciplinary Analytics With Python - Part 4 - Roy Hyunjin Han
An Introduction to Hadoop - Part 1 - Mark Fei
An Introduction to Hadoop - Part 2 - Mark Fei
An Introduction to Hadoop - Part 3 - Mark Fei
An Introduction to Hadoop - Part 4 - Mark Fei
Testing Hadoop Applications - Part 1 - Tom Wheeler
Testing Hadoop Applications - Part 2 - Tom Wheeler
Testing Hadoop Applications - Part 3 - Tom Wheeler
Testing Hadoop Applications - Part 4 - Tom Wheeler
Using HBase - Part 1 - Amandeep Khurana and Matteo Bertozzi
Using HBase - Part 2 - Amandeep Khurana and Matteo Bertozzi
Eating at the Trough of Disillusionment - Alistair Croll
What Do We Need to Teach Our Organizations About Big Data? - Robert
Analytics for the Real World - Marshall Sponder
Case Study: Big Data, Small(er) Company - Camille Fournier
Every Visualization You’ve Seen is Worthless - Noah Iliinsky
What Can Enterprises Learn from Startups? - Bjrn Herrmann
Case Study: Changing the Culture of the Music Industry - David Boyle
Case Study: Augmenting Humans to Make Better Policy Decisions - Sean Gourley
Case Study: What’s a Customer Worth? - Roberto Medri
The Disappearing Interface: Case Studies in Augmented Humanity - JD Vogt
Stuck in the Eighties: Why Marketers Still Don’t Get Big Data - Tom Phillips
Case Study: Data-Driven Door-to-Door Sales - Dirk Van den Poel and Dauwe Vercamer
What Business People Need to Know About Data Governance - Micheline Casey
How Much Privacy Can We Really Expect? - Mary Ludloff and Terence Craig
Given Enough Monkeys - Some Thoughts on Randomness - Jesse Anderson
Mainstream Big Data Through Storytelling - Kristian Hammond
Linking Census and Enterprise Data Sets - Deborah Cooper
Dealing with Dirty Data - Finding the Right Tool for the Job - Part 1 - Susan E. McGregor, Alice Brennan, and Michael Sullivan
Dealing with Dirty Data - Finding the Right Tool for the Job - Part 2 - Susan E. McGregor, Alice Brennan, and Michael Sullivan
Dealing with Dirty Data - Finding the Right Tool for the Job - Part 3 - Susan E. McGregor, Alice Brennan, and Michael Sullivan
Building a Large-scale Data Collection System Using Flume NG - Part 1 - Hari Shreedharan, Will McQueen, Arvind Prabhakar, Prasad
Building a Large-scale Data Collection System Using Flume NG - Part 2 - Hari Shreedharan, Will McQueen, Arvind Prabhakar, Prasad
Building a Large-scale Data Collection System Using Flume NG - Part 3 - Hari Shreedharan, Will McQueen, Arvind Prabhakar, Prasad
A Most Excellent Big Data Strategy - Bill Schmarzo
Big Data Is Not Yet Another IT Project - Krish Krishnan
Moving to Big Data: Strategies and Tactics for Setting Your Organization up for Success - Sheridan Hitchens
Data Wrangling: Making People Productive with Data - Joe Hellerstein
How To Plan a Successful Big Data Pilot - Michael Gold and Ryan McClarren
Hadoop’s Role in a Big Data Architecture - Jim Walker
Not Just Hadoop: NoSQL in the Enterprise - Steve Francia
Designing Data Visualizations Workshop - Part 1 - Noah Iliinsky
Designing Data Visualizations Workshop - Part 2 - Noah Iliinsky
Designing Data Visualizations Workshop - Part 3 - Noah Iliinsky
Designing Data Visualizations Workshop - Part 4 - Noah Iliinsky
Search and Real-time Analytics on Big Data - Part 1 - Sewook Wee, Ryan Tabora, and Jason Rutherglen
Search and Real-time Analytics on Big Data - Part 2 - Sewook Wee, Ryan Tabora, and Jason Rutherglen
Search and Real-time Analytics on Big Data - Part 3 - Sewook Wee, Ryan Tabora, and Jason Rutherglen
Search and Real-time Analytics on Big Data - Part 4 - Sewook Wee, Ryan Tabora, and Jason Rutherglen
Hadoop Data Warehousing with Hive - Part 1 - Dean Wampler
Hadoop Data Warehousing with Hive - Part 2 - Dean Wampler
Hadoop Data Warehousing with Hive - Part 3 - Dean Wampler
Hadoop Data Warehousing with Hive - Part 4 - Dean Wampler
Best Practices for Building and Deploying Predictive Models over Big Data - Part 1 - Robert Grossman and Collin Bennett
Best Practices for Building and Deploying Predictive Models over Big Data - Part 2 - Robert Grossman and Collin Bennett
Best Practices for Building and Deploying Predictive Models over Big Data - Part 3 - Robert Grossman and Collin Bennett
Best Practices for Building and Deploying Predictive Models over Big Data - Part 4 - Robert Grossman and Collin Bennett
‘Data Exponential’ - K-12 Learning Analytics for Personalized Learning at Scale: Opportunities and Challenges - Roy Pea, Stephen
Analyzing Millions of GitHub Commits: What Makes Developers Happy, Angry, and Everything in Between? - Ilya Grigorik and Brian D
Best Practices for Publishing Data - Hjalmar Gislason
Best Practices for Reproducible Research: A Case Study in Quantitative Finance - Chang She
Beyond Hadoop: Fast Ad-Hoc Queries on Big Data - Mike Driscoll and Eric Tschetter
Beyond Targeted Ads: Big Data for a Better World - Robert Kirkpatrick
Big Data Analytics Platform at Nokia Selecting the Right Tool for the Right Workload - Yekesa Kosuru and Jim Tommaney
Big Data for the Masses: How We Opened Up the Doors to Google’s Dremel - Michael Manoochehri and Jim Caputo
Big Data is a Hotbed of Thoughtcrime. So What? - Jim Adler
Big Data: Turning the Information Overload into an Information Advantage - Chris Selland and Jerome Levadoux
Big Data Wonderland: Two Views on the Big Data Revolution - Mark Madsen and Marc Demarest
BizData Monetization: Turn Your Data into Dollars - Thomas Strachan
Breeding Data Scientists - Amy O’Connor and Danielle Dean
Building Rich, High Performance Tools for Practical Data Analysis - Wes McKinney
Building the Next Platform for Analytic Apps in the Cloud - George Mathew
Commercial Graph: A Map of Financial Relationships - Michael Radwin
Creative Thinking and Data Science - Michael Stringer
Continuous Experimentation with Continuous Deployment - Steve Mardenfeld
Data Analysis for Explorers - Jesper Andersen
Data Science on Hadoop: How Cloudera Impala Unlocks New Productivity and Insights - Justin Erickson and Marcel Kornacker
Data Science with Hadoop at Opower - Erik Shilts
Deconstructing the Database - Rich Hickey
Demonstrating The Future of Data Science - Mike Maxey
Deploy a Highly Available, Elastic, Multi-tenant Hadoop Cluster in 10 Minutes - Richard McDougall
Designing Hadoop for the Enterprise Data Center - Jacob Rapp and Eric Sammer
Designing for Data-driven Organizations - Bitsy Bentley
Drive Smarter Decisions with Microsoft Big Data - Shawn Bice
Explore/Exploit: Driving Business Value with Big Data - Raymie Stata
GraphBuilder Scalable Graph Construction using Hadoop - Nilesh Jain
HDFS - What is New and Future - Sanjay Radia and Todd Lipcon
Hadoop as a Complementary Data Platform at PayPal - Moises Nascimento and Nagaraju Chayapathi
Hadoop Analytics Without a Ph.D - Richard Daley
Helping the World’s Farmers Adapt to Climate Change - Siraj Khaliq
hGraph: An Open System for Visualizing Personal Health Metrics - Juhan Sonin
High Availability for the HDFS NameNode: Phase 2 - Aaron Myers and Todd Lipcon
How Draw Something Absorbed 50 Million New Users, in 50 Days, With Zero App Downtime - Frank Weigel
How to See Data - Kim Rees
How a Traditional Media Company Embraced Big Data - Oscar Padilla, Franklin Rios, and Vineet Tyagi
Is Your Cluster a Leaning Tower of Pisa? - Michael Segel
Knitting Boar - Josh Patterson and Michael Katzenellenbogen
Large Scale ETL with Hadoop - Eric Sammer
Letting More Developers Dance with Elephants: What We Learned - Matt Winkler
MapReduce Design Patterns - Donald Miner
Maximizing ROI by Sharing your Hadoop Big Data Center - Rohit Valia
Making Major League Data Work: Carving Up Big Data into Useful Applications for Specific Audiences - Richard Brath and Noah Schw
Making Pig Fly: Optimizing Data Processing on Hadoop - Thejas Madhavan Nair and Jianyong Dai
Moneyballing Criminal Justice: Using Data to Reduce Crime - Anne Milgram
Monitoring Cloud Data - Gary Dusbabek
Netflix’s Evolving Data Science Architecture - Kurt Brown
Of Rocket Ships and Washing Machines: Data Technology for People - Joe Hellerstein
Performing Data Science with HBase - Aaron Kimball and Kiyan Ahmadizadeh
Predictive Modeling and Operational Analytics over Streaming Data - Roger Barga
Real-time Big Data Without Streaming - Ron Bodkin
Real-time Learning with Bayesian Bandits - Ted Dunning
Realtime Processing with Storm - Gabriel Eisbruch, Luis Daro Simonassi, and Jonathan Leibiusky
Scala + Cascading = Scalding - Avi Bryant
Scalable, Accessible, Predictive Analytics on Hadoop - Steven Hillion
Searching for the Genetic Causes of Disease with Hadoop - Charles Schmitt
Simple, Flexible Distributed Computing in Julia - Stefan Karpinski and Jeff Bezanson
Start Small Before Going Big - Steve Yun and Joseph Rickert
Storytelling with Data - Romy Misra
Taming the Object Graph - Justin Moore
The Art of Analytical Decomposition - Claudia Perlich
The Death of the Enterprise Data Warehouse - Paul Groom
The Language of Discovery: A Toolkit for Designing Big Data Interfaces and Interactions - Joe Lamantia
They Don’t Teach You That In School - Cathy O’Neil and Julie Steele
This Message Will Self Destruct: The Implications of Self-Destructing Digital Data - Susan E. McGregor and Kathleen Duff
Top 10 Things We Learned About Hadoop (since we started focusing on it) - Val Bercovici
Trecul : Data Flow Processing Using LLVM-based JIT Compilation on Top of Hadoop - David Blair
Turning Raw Data in Hadoop into Interactive BI (Capital One Labs Case Study) - Peter Schlampp
Tying the Knot Between Hadoop and EDW - David Jonker
Ubiquity, Interfaces, and Data: A Look Ahead to the Internet of Things - Rob Coneybeer
UGD (User Generated Data), Product Development, and Privacy - Adrian Woodhead
Using Data to Tune A Software Team - Jonathan Alexander
Using Hadoop to do Agile Iterative ETL - Ben Werther and Kevin Beyer
Visualizing Networks - Lynn Cherny
Visualization An Emerging Collaboration Opportunity - Lee Feinberg
Web Data Visualization: What’s Becoming Easy, What’s Becoming Possible - Kevin Lynagh, Kim Rees, Hadley Wickham, and David Nolen
What Can We Learn from Billions of Foursquare Check-ins? - Blake Shaw
Zillow: Disrupting the Real Estate Marketplace with Data - Stan Humphries