Dean Wampler supports using Functional Programming and its core operations to process large amounts of data, explaining why Java’s dominance in Hadoop is harming Big Data’s progress.
Alex Robbins introduces Cascalog, a Clojure library for writing declarative Hadoop jobs.
Josh Suereth designs a distributed search service with Akka using Actors, covering: message passing, designing topologies, handling failure, service overload detection and tracking user sessions.
Ramnivas Laddad sketches the architecture of Cloud Foundry, explaining how they manage to do hot swaps without application downtime, including lessons applicable in general distributed environments.
Adrian Cockcroft presents Netflix globally distributed architecture, the benchmarks used, scalability issues, and the open source components their implementation is based upon.
Scott Andreas discussing creating fault tolerant distributed applications, and demoes Ordasity, a framework for building self-organizing systems with services.
Hairong Kuang explains how Facebook uses HDFS to store and analyze over 100PB of user log data.
Pieter Hintjens explains how to use contracts and rapid iterative design cycles to architect large-scale distributed systems with ZeroMQ.
Nikita Ivanov shows adding real-time capabilities to Hadoop through a demo application streaming word counting on a 2-nodes cluster.
Kathleen Ting details 8 misconfigurations that can bring ZooKeeper down.
Sean Cribbs compares ACID with BASE, explaining the virtues and tradeoffs of eventually consistent systems and what developers should know in order to feel comfortable working with EC systems.
Costin Leau discusses Big Data, current available tools for dealing with it, and how Spring can be used to create Big Data pipelines.