Claudia Perlich discusses privacy-preserving representations, robust high-dimensional modeling, large-scale automated learning systems, transfer learning, and fraud detection.
Ted Dunning discusses the different options for running SQL on Hadoop including pros and cons.
This session describes architectural patterns for developing microservices: Service Decomposition, API Gateways, Stateless/Shared-Nothing Apps, Configuration and Backing Service Consumption, etc.
TJ Van Toll takes a look at where the hybrid ecosystem is today, and where it's heading, trying to evaluate if the ecosystem is growing or shrinking.
Alex Baldwin explains the exercises used in the 5 phases of a Design Sprint: Build, Diverge, Converge, Prototype, and Test.
Ben Hale discusses how to design microservices as RESTful APIs and implement them with minimal code using Spring Boot.
Paco Nathan keynotes on how Spark fits into the big data landscape, describing what other systems work with Spark, and explaining why Spark is needed in the future.
Jim Scott keynotes on the history of Hadoop, the difficulties that this technology has gone through, exploring the reasons why enterprises need to evaluate their targets and prepare for the future.
Josh Wexler takes participants through the Idea Stack exercises and use case studies, illustrating how to build a vision for a product before developing it.
Adam Ernst shows how his team at Facebook encountered spiraling complexities and declining reliability and decided to make the shift to functional, in the data model and the view layer of News Feed.
Barry Jaspan describes how they test Acquia Cloud, a large PaaS and DevOps project, and what they have learned over several years of developing those tests.
Ward Penney discusses a few tools, benefits and war stories surrounding Live Style Guides.