Skip to Content conference Strata + Hadoop World New York 2015: Video Compilation October 2015
Beginner to intermediate
148h 4m
English
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional) Course outline Business & Innovation conference sessions 3h
Data Innovations conference sessions 7h 18m
Data Science & Advanced Analytics conference sessions 12h 13m
Data science for Wall Street, Part 1 - Sean Owen (Cloudera), Juliet Hougland (Cloudera), Sandy Ryza (Cloudera)50m 5s
Data science for Wall Street, Part 2 - Sean Owen (Cloudera), Juliet Hougland (Cloudera), Sandy Ryza (Cloudera)41m 56s
Data science for Wall Street, Part 3 - Sean Owen (Cloudera), Juliet Hougland (Cloudera), Sandy Ryza (Cloudera)50m 12s
Machine Learning 101, Part 1 - Alice Zheng (Dato), Chris DuBois (Dato), Piotr Teterwak (Dato), Srikrishna Sridhar (Dato)51m 22s
Machine Learning 101, Part 2 - Alice Zheng (Dato), Chris DuBois (Dato), Piotr Teterwak (Dato), Srikrishna Sridhar (Dato)34m 45s
Machine Learning 101, Part 3 - Alice Zheng (Dato), Chris DuBois (Dato), Piotr Teterwak (Dato), Srikrishna Sridhar (Dato)51m 0s
Machine Learning 101, Part 4 - Alice Zheng (Dato), Chris DuBois (Dato), Piotr Teterwak (Dato), Srikrishna Sridhar (Dato)32m 3s
Machine Learning 101, Part 5 - Alice Zheng (Dato), Chris DuBois (Dato), Piotr Teterwak (Dato), Srikrishna Sridhar (Dato)43m 56s
Machine Learning 101, Part 6 - Alice Zheng (Dato), Chris DuBois (Dato), Piotr Teterwak (Dato), Srikrishna Sridhar (Dato)39m 28s
Machine Learning 101, Part 7 - Alice Zheng (Dato), Chris DuBois (Dato), Piotr Teterwak (Dato), Srikrishna Sridhar (Dato)35m 3s
Scaling Python Analytics on Impala - Wes McKinney (Cloudera)45m 31s
Mapping Big Data: A Data Driven Market Report - Russell Jurney (Relato)22m 58s
Queering Quant: How Having All the Data Isn’t Enough to Represent a Complex Social Phenomena - Lauralea Banks Edwards (Washington State University)21m 8s
Data Science in the Wall Street Journal - Juan Huerta (Dow Jones)54m 6s
Data modeling for data science: Simplify your workload with complex types - Marcel Kornacker (Cloudera, Inc.), Josh Wills (Cloudera), Alexander Behm (Cloudera)47m 28s
Running experiments with logged-out users: Solving the mixed group problem - Raphael Lee (Airbnb), Victor Vazquez (Airbnb)36m 40s
How data science helps prevent churn at Avira, a 100-million user company - Iulia Pasov (Avira), Calin-Andrei Burloiu (Avira)19m 35s
Probabilistic programming in data science - Thomas Wiecki (Quantopian)22m 17s
Tackling machine learning complexity for data curation - Ihab Ilyas (Tamr, Inc.)15m 36s
Learning to love Bayesian statistics - Allen Downey (Olin College of Engineering)18m 35s
Design, User Experience, & Visualization conference sessions 7h 34m
Introduction to visualizations using D3, Part 1 - Brian Suda ((optional.is))46m 7s
Introduction to visualizations using D3, Part 2 - Brian Suda ((optional.is))53m 28s
Introduction to visualizations using D3, Part 3 - Brian Suda ((optional.is))38m 26s
Introduction to visualizations using D3, Part 4 - Brian Suda ((optional.is))30m 55s
Value in the details - understanding data through visual exploration - Richard Brath (Uncharted Software), Rob Harper (Uncharted)37m 12s
Data inclusion for all - Alex Kelly (General Motors), Kim Le (General Motors)28m 51s
Visualising Music Services - Alan Hannaway (7digital)38m 9s
From profiling to analysis: Designing visualization tools for purpose - Jeffrey Heer (Trifacta | University of Washington), Jock Mackinlay (Tableau)38m 18s
What have you done!? How to visualize methods and models for decision makers - Michael Freeman (University of Washington)37m 21s
LIVE from New York: An introduction to Linked Immersive Visualization Environments - Margit Zwemer (LiquidLandscape)33m 46s
Data, Design, and Organizations: Design thinking and prototyping approaches to data challenges in orgs - Peter Olson (IDEO), David Boardman (IDEO)38m 58s
Designing happiness with data - Pamela Pavliscak (Change Sciences)33m 12s
Hadoop Internals & Development conference sessions 7h 45m
Hadoop application architectures: Fraud detection, Part 1 - Gwen Shapira (Confluent), Ted Malaska (Cloudera), Mark Grover (Cloudera), Jonathan Seidman (Cloudera)48m 4s
Hadoop application architectures: Fraud detection, Part 2 - Gwen Shapira (Confluent), Ted Malaska (Cloudera), Mark Grover (Cloudera), Jonathan Seidman (Cloudera)41m 33s
Hadoop application architectures: Fraud detection, Part 3 - Gwen Shapira (Confluent), Ted Malaska (Cloudera), Mark Grover (Cloudera), Jonathan Seidman (Cloudera)38m 13s
Hadoop application architectures: Fraud detection, Part 4 - Gwen Shapira (Confluent), Ted Malaska (Cloudera), Mark Grover (Cloudera), Jonathan Seidman (Cloudera)49m 54s
Simplifying Hadoop: RecordService, a secure and unified data access path for compute frameworks - Lenni Kuff (Cloudera), Nong Li (Cloudera), Stephen Romanoff (Capital One )39m 39s
Hadoop's storage gap: Resolving transactional access/analytic performance trade-offs with Kudu - Todd Lipcon (Cloudera) and Binglin Chang (Xiaomi)39m 32s
Native erasure coding support inside HDFS - Zhe Zhang (Cloudera), Weihua Jiang (Intel)40m 27s
Transaction processing with Apache Hive, HBase, and Phoenix - Alan Gates (Hortonworks)40m 59s
OLTP on Hadoop: Reviewing the first Hadoop-based TPC-C benchmarks - Monte Zweben (Splice Machine Inc.), John Leach (Splice Machine)1h 2m 30s
What does it mean to virtualize the Hadoop distributed file system? - Thomas Phelan (BlueData)41m 57s
HDFS operations made easy: Guide to the improved, full service HDFS File Browser - Ravi Prakash (Altiscale)22m 39s
IoT & Real-time conference sessions 8h 52m
Process, store, and analyze like a boss with Team Apache: Kafka, Spark, and Cassandra, Part 1 - Patrick McFadin (DataStax)46m 38s
Process, store, and analyze like a boss with Team Apache: Kafka, Spark, and Cassandra, Part 2 - Patrick McFadin (DataStax)35m 38s
Process, store, and analyze like a boss with Team Apache: Kafka, Spark, and Cassandra, Part 3 - Patrick McFadin (DataStax)32m 48s
Process, store, and analyze like a boss with Team Apache: Kafka, Spark, and Cassandra, Part 4 - Patrick McFadin (DataStax)27m 44s
When it absolutely, positively, has to be there: Reliability guarantees in Kafka - Gwen Shapira (Confluent), Jeff Holoman (Cloudera)42m 25s
What does your smart device know about you? - Charles Givre (Booz | Allen | Hamilton)41m 55s
Twitter Heron: Stream processing at scale - Karthik Ramasamy (Twitter)43m 8s
Streaming in the extreme - Jim Scott (MapR Technologies, Inc.)39m 1s
IoT with Spark Streaming: Practical lessons from real-world use cases - Hari Shreedharan (Cloudera), Anand Iyer (Cloudera)40m 22s
An open source approach to gathering and analyzing device-sourced health data - Ian Eslick (VitalLabs)38m 16s
Elastic stream processing without tears - Michael Hausenblas (Mesosphere)29m 33s
Modeling predictive maintenance applications in the IoT Era - Yan Zhang (Microsoft)36m 38s
Building a real-time analytics stack with Kafka, Samza, and Druid - Fangjin Yang (Imply), Gian Merlino (Stealth)42m 1s
Oulu Smart City pilot - Susanna Pirttikangas (University of Oulu)36m 16s
Production Ready Hadoop conference sessions 11h 48m
Apache Hadoop operations for production systems, Part 1 - Kathleen Ting (Cloudera), Miklos Christine (Databricks), Philip Zeyliger (Cloudera), Philip Langdale (Cloudera, Inc.)50m 42s
Apache Hadoop operations for production systems, Part 2 - Kathleen Ting (Cloudera), Miklos Christine (Databricks), Philip Zeyliger (Cloudera), Philip Langdale (Cloudera, Inc.)34m 31s
Apache Hadoop operations for production systems, Part 3 - Kathleen Ting (Cloudera), Miklos Christine (Databricks), Philip Zeyliger (Cloudera), Philip Langdale (Cloudera, Inc.)46m 2s
Apache Hadoop operations for production systems, Part 4 - Kathleen Ting (Cloudera), Miklos Christine (Databricks), Philip Zeyliger (Cloudera), Philip Langdale (Cloudera, Inc.)42m 46s
Apache Hadoop operations for production systems, Part 5 - Kathleen Ting (Cloudera), Miklos Christine (Databricks), Philip Zeyliger (Cloudera), Philip Langdale (Cloudera, Inc.)55m 11s
Apache Hadoop operations for production systems, Part 6 - Kathleen Ting (Cloudera), Miklos Christine (Databricks), Philip Zeyliger (Cloudera), Philip Langdale (Cloudera, Inc.)26m 47s
Apache Hadoop operations for production systems, Part 7 - Kathleen Ting (Cloudera), Miklos Christine (Databricks), Philip Zeyliger (Cloudera), Philip Langdale (Cloudera, Inc.)49m 31s
Apache Hadoop operations for production systems, Part 8 - Kathleen Ting (Cloudera), Miklos Christine (Databricks), Philip Zeyliger (Cloudera), Philip Langdale (Cloudera, Inc.)33m 12s
Building a Hadoop data application, Part 1 - Tom White (Cloudera), Ryan Blue (Cloudera)54m 26s
Building a Hadoop data application, Part 2 - Tom White (Cloudera), Ryan Blue (Cloudera)34m 31s
Building a Hadoop data application, Part 3 - Tom White (Cloudera), Ryan Blue (Cloudera)46m 41s
Hadoop in the cloud: An architectural how-to - Jairam Ranganathan (Cloudera)38m 10s
Multi-tenant, multi-cluster, and multi-container Apache HBase deployment - Jonathan Hsieh (Cloudera, Inc), Dima Spivak (Cloudera)39m 28s
The glue: Building the connectors and tools to manage big data warehouses - Siwei Zhu (Scribd), Kevin Perko (Scribd)36m 58s
Failing fast and falling often is no way to run a cluster! - Michael Segel (Segel & Associates)36m 50s
Real-world NoSQL schema design - Ted Dunning (MapR Technologies)42m 44s
Hadoop's storage gap: Resolving transactional access/analytic performance trade-offs with Kudu - Todd Lipcon (Cloudera, Inc.)39m 32s
Spark & Beyond conference sessions 12h 10m
Apache Drill bootcamp, Part 1 - Tomer Shiran (Dremio), Jacques Nadeau (Dremio)42m 37s
Apache Drill bootcamp, Part 2 - Tomer Shiran (Dremio), Jacques Nadeau (Dremio)30m 58s
Apache Drill bootcamp, Part 3 - Tomer Shiran (Dremio), Jacques Nadeau (Dremio)45m 40s
Apache Drill bootcamp, Part 4 - Tomer Shiran (Dremio), Jacques Nadeau (Dremio)41m 23s
Architecting a data platform, Part 1 - Stephen OSullivan (Silicon Valley Data Science), John Akred (Silicon Valley Data Science), Gary Dusbabek (Silicon Valley Data Science)46m 28s
Architecting a data platform, Part 2 - Stephen OSullivan (Silicon Valley Data Science), John Akred (Silicon Valley Data Science), Gary Dusbabek (Silicon Valley Data Science)46m 43s
Architecting a data platform, Part 3 - Stephen OSullivan (Silicon Valley Data Science), John Akred (Silicon Valley Data Science), Gary Dusbabek (Silicon Valley Data Science)44m 53s
Architecting a data platform, Part 4 - Stephen OSullivan (Silicon Valley Data Science), John Akred (Silicon Valley Data Science), Gary Dusbabek (Silicon Valley Data Science)36m 31s
What's coming for the Spark community - Patrick Wendell (Databricks)49m 26s
Supercharging R with Spark for end-to-end data science - Hossein Falaki (Databricks Inc.)40m 8s
Next-generation genomics analysis with Apache Spark - Timothy Danford (Tamr, Inc.)38m 50s
Lifelogging for insights - Håkan Jonsson (Sony Mobile Communications)39m 26s
Effective testing of Spark programs and jobs - Holden Karau (IBM)33m 13s
Estimating financial risk with Apache Spark - Sandy Ryza (Cloudera)35m 48s
Netflix: Integrating Spark at petabyte scale - Daniel Weeks (Netflix)38m 7s
First-ever scalable, distributed deep learning architecture using Spark and Tachyon - Christopher Nguyen (Adatao, Inc.), Vu Pham (Adatao, Inc), Michael Bui (Adatao, Inc.)37m 42s
Spark on Mesos - Dean Wampler (Typesafe)37m 29s
How Spark is working out at Comcast scale - Sridhar Alla (Comcast), Jan Neumann (Comcast)44m 58s
Financial Services conference sessions 4h 10m
Data-driven Business conference sessions 10h 2m
Welcome to data-driven business day - Alistair Croll (Solve For Interesting)14m 42s
Hacking the bias - Farrah Bostic (The Difference Engine)28m 46s
Beer, diapers, and correlation: A tale of ambiguity - Mark Madsen (Third Nature)31m 19s
How big data is creating a new breed of CFOs - Krish Venkataraman (Syncsort)19m 44s
Bringing the human dimension to data: A case study on transforming research at O’Reilly Media - Tricia Wang (Constellate Data ), Matt LeMay (Constellate Data)18m 23s
Human-in-the-loop-computing-as-a-service - Adam Devine (WorkFusion)20m 21s
Farming in the 21st century and beyond - Gary Short (Duncodin Limited)20m 31s
One trillion streams and counting - Alexander White (Next Big Sound)17m 24s
Building an insight machine - Matthew Granade (Domino Data Lab)15m 8s
When AI joins the team: Onboarding the next generation of employees - Jana Eggers (Nara Logics)17m 34s
Developing a modern enterprise data strategy, Part 1 - Scott Kurth (Silicon Valley Data Science), Edd Dumbill (Silicon Valley Data Science)47m 28s
Developing a modern enterprise data strategy, Part 2 - Scott Kurth (Silicon Valley Data Science), Edd Dumbill (Silicon Valley Data Science)59m 7s
Developing a modern enterprise data strategy, Part 3 - Scott Kurth (Silicon Valley Data Science), Edd Dumbill (Silicon Valley Data Science)56m 34s
Big Data is Not Enough - Rahel Jhirad (Hearst)17m 54s
Death of the click: How big data is killing your favorite metrics - Claudia Perlich (Dstillery)35m 27s
How a global entertainment company successfully built a data lake for continued digital dominance - Joe Caserta (Caserta Concepts), Elliott Cordo (Caserta Concepts, LLC)31m 54s
How Hadoop is powering Walmart’s data-driven business - Jeremy King (Walmart Global eCommerce)39m 3s
What can Big Pharma teach us about Wall Street? What can Wall Street teach us about Big Pharma? - Joe Klobusicky (Geisinger Health System), Ali Habib (Northwestern Feinberg School of Medicine), Ekaterina Volkova (Cornell University)35m 27s
Your data is screaming at you. Learn to listen through customer choice modeling - Vivek Farias (Celect)41m 4s
Science fiction to product: Data-driven development - Micha Gorelick (Fast Forward Labs)34m 27s
How to Build a Company on Open Source - Travis Oliphant (Continuum Analytics, Inc.), Peter Wang (Continuum Analytics, Inc.)45m 42s
How to Build Publishing & On-Demand Learning Environments with IPython - Kyle Kelley (Rackspace), Andrew Odewahn (O'Reilly Media)35m 58s
How to Use Pandas for Data Analysis - Jeff Reback (Continuum Analytics, Inc.) - Part 134m 4s
How to Use Pandas for Data Analysis - Jeff Reback (Continuum Analytics, Inc.) - Part 236m 45s
How to Create Beautiful Visualizations with Bokeh, Part 1 - Sarah Bird (Aptivate), Bryan Van de Ven (Continuum Analytics)50m 18s
How to Create Beautiful Visualizations with Bokeh, Part 2 - Bryan Van de Ven (Continuum Analytics), Sarah Bird (Aptivate)24m 2s
How to Build Big Data Workflows - Andy Terrel (Fashion Metric), Ben Zaitlen (Continuum Analytics, Inc.)37m 9s
How to Solve Problems in Geophysics with Python - Paige Bailey (Chevron)44m 22s
How to Leverage the Blaze Ecosystem - Jim Crist (Continuum Analytics) & Phil Cloud (Continuum Analytics)43m 37s
How to Think About Python - James Powell (NumFOCUS)35m 6s
Introduction to Publication Quality Plotting with Matplotlib - Damon McDougall (UT Austin), Michael Droettboom (Space Telescope Science Institute)41m 40s
Interactive Computing in the Jupyter Notebook – Present and Future - Jason Grout (Bloomberg L.P.), Chris Colbert (Continuum Analytics)41m 55s
R Quickstart: Wrangle, transform, and visualize data, Part 1 - Garrett Grolemund (RStudio)43m 13s
R Quickstart: Wrangle, transform, and visualize data, Part 2 - Garrett Grolemund (RStudio)32m 17s
Work with Big Data in R - Nathan Stephens (RStudio, Inc.)57m 22s
Reproducible Reports with Big Data, Part 1 - Yihui Xie (RStudio, Inc.)35m 13s
Reproducible Reports with Big Data, Part 2 - Yihui Xie (RStudio, Inc.)27m 45s
Interactive Shiny Applications built on Big Data, Part 1 - Garrett Grolemund (RStudio)42m 18s
Interactive Shiny Applications built on Big Data, Part 2 - Garrett Grolemund (RStudio)28m 14s
Hardcore Data Science conference sessions 4h 15m
I+G conference sessions 4h 10m
Hadoop Use Cases conference sessions 5h 22m
Sponsored conference sessions 19h 17m
Putting Modern BI to Work: Innovative Use Cases - Ali Tore (ClearStory Data)42m 4s
Big data analytics in the cloud - Matt Winkler (Microsoft)43m 8s
Where Do You Go From Here? Lessons and Landmarks from Real-World Cisco USC - Robert Novak (Cisco)41m 28s
Expand your mind to fit the big data Data Center: the scale and cost of information management architectures - Robert Eve (Cisco), Robert Novak (Cisco), Nenshad Bardoliwalla (Paxata, Inc.)39m 11s
Delivering trusted data for analyst autonomy and operational agility with a unified big data fabric - Vishal Bamba (Transamerica), Murthy Mathiprakasam (Informatica)41m 23s
End User Panel on Real-Time Data Analytics - Eric Frenkiel (MemSQL), Ian Hanson (Digital Ocean), Noah Zucker (Novus Partners), Michael DePrizio (Akamai Technologies)36m 21s
How Riot Games uses Platfora to improve League of Legends' performance - Peter Schlampp (Platfora), Chris Kudelka (Riot Games)46m 35s
Hydrate a data lake in days with CDAP - Jonathan Gray (Cask)55m 1s
Machine learning in big data – look forward or be left behind - Bill Porto (RedPoint Global)43m 40s
Design patterns for real-time data analytics - Sheetal Dolas (Hortonworks)40m 56s
How Pepsi Wrangles the Diverse Data of Consumer Packaged Goods - Matthew Derda (Pepsi), Doug Stradley (Trifacta)37m 58s
Catalog, secure, and govern your Hadoop data lake - Alex Gorelik (Waterline Data), Jim Kaskade (CSC), David Tabacco (Merck & Co., Inc.), David Paige (Cox Automotive)45m 7s
Enter the snake pit for fast and easy Spark and Cassandra - Jon Haddad (DataStax)24m 22s
Combining open source software and cloud-native data processing services on Google Cloud Platform - Eric Brewer (Google)33m 21s
Think like a data scientist: Build your big data blueprint - Bill Schmarzo (EMC Consulting)45m 58s
Fast fish eat slow fish: How to move faster - Samuel Cozannet (Canonical)14m 28s
Requirements for Secure, Multi-Tenant Hadoop: It’s Much More than YARN - Anant Chintamaneni (BlueData)43m 15s
Patterns from the future - Paul Kent (SAS)46m 33s
Pentaho featuring Forrester: Delivering governed data for analytics at scale - Michele Goetz (Forrester Research), Chuck Yarbrough (Pentaho)31m 37s
Do you know where your data is? - Nidhi Aggarwal (Tamr, Inc.)36m 21s
Case study: How YP.com addresses real-world analytical challenges for SQL on Hadoop - William Theisinger (YP), Ignacio Hwang (HP)27m 56s
How Autodesk is using Tableau to visualize its Kafka-Splunk-Hadoop pipeline - Charlie Crocker (Autodesk)42m 33s
Eventual consistent systems a.k.a mostly inconsistent systems vs. strongly consistent systems in big data - Jagane Sundar (WANdisco)42m 26s
Faster time to insight using Spark, Tachyon, and Zeppelin - Nirmal Ranganathan (Rackspace Hosting)36m 4s
Big data modeling and analytic patterns – beyond schema on read - Ron Bodkin (Think Big, a Teradata Company)38m 43s
Commercializing IOT: What do you need to know? - Ashish Verma (Deloitte)46m 3s
Enable secure data sharing and analytics in Hadoop with 5 key steps - Reiner Kappenberger (HP Security Voltage)45m 23s
Apache Spark as a code-free data science workbench - Michal Iwanowski (DeepSense.io), Piotr Niedzwiedz (DeepSense.io)35m 6s
SAP HANA Vora to query Big Data with greater ease - Balalji Krishna (SAP)54m 19s
Law, Ethics, & Open Data conference sessions 2h 41m
Ask Me Anything conference sessions 2h 33m
Ask me anything: Hadoop application architectures - Gwen Shapira (Confluent), Jonathan Seidman (Cloudera), Ted Malaska (Cloudera), Mark Grover (Cloudera)38m 35s
Ask me anything: Apache Spark - Patrick Wendell (Databricks), Reynold Xin (Databricks)36m 27s
Ask me anything: Hadoop operations for production systems - Miklos Christine (Databricks), Kathleen Ting (Cloudera), Philip Zeyliger (Cloudera), Philip Langdale (Cloudera, Inc.)39m 14s
Ask me anything: Developing a modern enterprise data strategy - John Akred (Silicon Valley Data Science), Julie Steele (Silicon Valley Data Science), Scott Kurth (Silicon Valley Data Science)39m 19s
Security & Governance conference sessions 1h 50m
Solutions Showcase Theater 7h 33m
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.