Continuous Delivery - a practical case[MP4] [0:50:33] [2016/06/28]Continuous Delivery - a practical case by Juan José del Río
Closing Keynote day 2[MP4] [0:41:48] [2016/06/28]Closing Keynote day 2 by Jamie Allen
Opening Keynote[MP4] [0:49:01] [2016/05/30]Opening Keynote by Sergey Bykov
Advanced Search for your legacy application[MP4] [0:48:37] [2016/05/30]Advanced Search for your legacy application by David Pilato
A Java Implementer's Guide to Boosting Apache Spark Performance[MP4] [0:43:46] [2016/05/30]A Java Implementer's Guide to Boosting Apache Spark Performance by Tim Ellison
Big Data Analytics as an On Demand Service[MP4] [0:46:34] [2016/05/30]Big Data Analytics as an On Demand Service by Kevin Crosbie
In Graph, Big Graphs Insights[MP4] [0:47:36] [2016/05/30]In Graph, Big Graphs Insights by Fernando Pérez
Gamifying Big Data: The Untapped resource[MP4] [0:35:39] [2016/05/30]Gamifying Big Data: The Untapped resource by Paul Chen
The next generation holiday search platform at Thomas Cook, Microservices in the wild[MP4] [0:31:15] [2016/05/30]The next generation holiday search platform at Thomas Cook, Microservices in the wild by Pascal Laenen
How we use Kappa Architecture in our projects[MP4] [0:46:00] [2016/05/30]How we use Kappa Architecture in our projects by Juan Tomás García
Opening Keynote day 2[MP4] [0:28:02] [2016/05/30]Opening Keynote by Justo Ruiz Ferrer
Closing Keynote[MP4] [0:55:41] [2016/05/30]Closing Keynote by Peter Crnokrak
What's the role of DevOps in the Data Science Team?[MP4] [0:37:32] [2016/05/30]What's the role of DevOps in the Data Science Team? by Florian Doutteau
The tech behind the biggest journalism leak in history[MP4] [0:55:12] [2016/05/30]The tech behind the biggest journalism leak in history by Mar Cabra
C2MON - A highly scalable monitoring platform for Big Data scenarios[MP4] [0:48:46] [2016/05/30]C2MON - A highly scalable monitoring platform for Big Data scenarios @CERN by Matthias Bräger
IoT, timeseries and prediction with Android, Cassandra and Spark[MP4] [0:41:43] [2016/05/30]IoT, timeseries and prediction with Android, Cassandra and Spark by Amira Lakhal
BetWatch - utilizing Big and Fast Data to help sports books manage risk and increase customer…[MP4] [0:46:21] [2016/05/30]BetWatch - utilizing Big and Fast Data to help sports books manage risk and increase customer experience, by Andrew Pearson
OrientDB - the 2nd generation of (MultiModel) NoSQL[MP4] [0:45:32] [2016/05/30]OrientDB - the 2nd generation of (MultiModel) NoSQL by Luigi Dell'Aquila
Multi-cloud scalability: NoSQL with Cassandra, JavaEE, CDI, and Containers[MP4] [0:33:27] [2016/05/30]Multi-cloud scalability: NoSQL with Cassandra, JavaEE, CDI, and Containers by Bruno Souza and Otávio Santana