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.
Eric Evans shares approaches that have helped him with issues in architecture, with a focus on establishing boundaries between software with different conceptual approaches and discipline levels.
The authors discuss some of the unique challenges they've faced delivering highly personalized search over semi-structured data at massive scale.
Yoni Goldberg describes some of the technological innovations that have helped Gilt to reach its current size, and highlight some of the core challenges that the company's engineering team faces.
Raymond Blum discusses some of the challenges, solutions and discarded alternatives in creating durable storage systems at Google scale.
Jon Hoffman discusses the general architecture, storage systems and development practices created to handle the ever increasing volume and complexity at Foursquare.
Wesley Chow presents Chartbeat's real-time analytics platform and how able to handle the requests in a cost efficient manner using a custom written analytics engine in C and Lua.