Skip to Content conference Strata + Hadoop World San Jose 2015: Video Compilation March 2015
Beginner to intermediate
131h 13m
English
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional) Course outline Business & Industry 5h 10m
Spark Camp: An Introduction to Apache Spark with Hands-on Tutorials - Paco Nathan - Part 157m 21s
Spark Camp: An Introduction to Apache Spark with Hands-on Tutorials - Paco Nathan - Part 256m 0s
Spark Camp: An Introduction to Apache Spark with Hands-on Tutorials - Paco Nathan - Part 339m 16s
Spark Camp: An Introduction to Apache Spark with Hands-on Tutorials - Reza Zadeh - Part 430m 41s
Spark Camp: An Introduction to Apache Spark with Hands-on Tutorials - Reza Zadeh - Part 531m 2s
Spark Camp: An Introduction to Apache Spark with Hands-on Tutorials - Paco Nathan and Krishna Sankar - Part 641m 55s
Spark Camp: An Introduction to Apache Spark with Hands-on Tutorials - Paco Nathan and Christopher Fregly - Part 736m 6s
Spark Camp: An Introduction to Apache Spark with Hands-on Tutorials - Paco Nathan - Part 840m 58s
Getting Started with Interactive SQL-on-Hadoop - John Russell and Alan Choi - Part 156m 12s
Getting Started with Interactive SQL-on-Hadoop - John Russell and Alan Choi - Part 227m 42s
Getting Started with Interactive SQL-on-Hadoop - John Russell and Alan Choi - Part 347m 55s
Getting Started with Interactive SQL-on-Hadoop - John Russell and Alan Choi - Part 436m 35s
Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin - Part 143m 38s
Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin - Part 248m 22s
Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin - Part 350m 39s
Owning Time Series With Team Apache: Cassandra, Spark, Spark Streaming, and Kafka - Patrick McFadin - Part 425m 52s
Going Real-time: Data Collection and Stream Processing with Apache Kafka - Jay Kreps39m 29s
Stream Processing Everywhere - What to Use? - Jim Scott39m 6s
Using Multiple Persistence Layers in Spark to Build a Scalable Prediction Engine - Richard Williamson29m 17s
From MapReduce to Programming Frameworks: Making Sense of Cloud Dataflow, Spark and New Tools for Big Data - Eric Schmidt40m 56s
Drill into Drill: How Providing Flexibility and Performance is Possible - Jacques Nadeau43m 17s
Three Approaches to Scalable Data Curation - Michael Stonebraker 38m 20s
One Billion Objects in 2GB: Big Data Analytics on Small Clusters with Doradus OLAP - Randy Guck48m 21s
Big Data at Netflix: Faster and Easier - Kurt Brown40m 27s
Search Evolved: Unraveling Your Data - Costin Leau40m 39s
The Year in Review - Key Changes in the Hadoop Platform in the Past 12 Months - Jairam Ranganathan42m 1s
Building Interactive Data Applications at Scale - Fangjin Yang and Vadim Ogievetsky42m 56s
YARN vs. MESOS: Can’t We All Just Get Along? - Ted Dunning40m 3s
Apache Hadoop Operations for Production Systems - Kathleen Ting, Philip Zeyliger, Philip Langdale, and Miklos Christine - Part 150m 37s
Apache Hadoop Operations for Production Systems - Kathleen Ting, Philip Zeyliger, Philip Langdale, and Miklos Christine - Part 238m 39s
Apache Hadoop Operations for Production Systems - Kathleen Ting, Philip Zeyliger, Philip Langdale, and Miklos Christine - Part 357m 12s
Apache Hadoop Operations for Production Systems - Kathleen Ting, Philip Zeyliger, Philip Langdale, and Miklos Christine - Part 444m 54s
Building an Apache Hadoop Data Application - Tom White, Joey Echeverria, and Ryan Blue - Part 145m 38s
Building an Apache Hadoop Data Application - Tom White, Joey Echeverria, and Ryan Blue - Part 228m 39s
Building an Apache Hadoop Data Application - Tom White, Joey Echeverria, and Ryan Blue - Part 345m 59s
Building A Data Platform - Manu Mukerji, Stephen O'Sullivan, and John Akred - Part 146m 36s
Building A Data Platform - Manu Mukerji, Stephen O'Sullivan, and John Akred - Part 239m 0s
Building A Data Platform - Manu Mukerji, Stephen O'Sullivan, and John Akred - Part 342m 54s
Building A Data Platform - Manu Mukerji, Stephen O'Sullivan, and John Akred - Part 440m 41s
Hadoop Puzzlers Reloaded - Aaron Myers and Daniel Templeton44m 2s
The Future of Apache Hadoop Security - Joey Echeverria35m 30s
Making HBase Accessible to Scientists - Spencer Herath and Aaron Benz40m 24s
Data Discovery on Hadoop - Sumeet Singh and Thiruvel Thirumoolan39m 40s
Yarns about YARN: Migrating to MapReduce v2 - Kathleen Ting and Miklos Christine32m 48s
Maintaining Low Latency while Maximizing Throughput on a Single Cluster - Yuliya Feldman39m 47s
Running Production Hadoop Clusters in Docker Containers - Nasser Manesh45m 44s
How to use Parquet as a Basis for ETL and Analytics - Julien Le Dem40m 8s
Adding Insert, Update, and Delete to Hive - Alan Gates37m 52s
Top Ten Pitfalls to Avoid in a SQL-on-Hadoop Implementation - Monte Zweben35m 5s
Law, Ethics & Open Data 1h 57m
Enterprise Adoption 2h 36m
Hardcore Data Science 5h 10m
Data-Driven Business Day 4h 37m
Large-scale Machine Learning Day 3h 45m
Solutions Showcase Theater 8h 29m
Show More
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month, Watch now
Unlock full access
More than 5,000 organizations count on O’Reilly 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. Julian F. I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology. Addison B. I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed. Amir M. I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do. Mark W. 
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.