Urania Loft White

RabbitMQ is emerging as good solution for open source messaging in modern architectures. This opens new challenges on how to implement integration patterns in order to go beyond simple produce/consume applications. In this presentation we will show how to implement several messaging patterns using RabbitMQ as backend technology such as:

- Competing consumers
- RPC
- Parallel RPC
- Smart Proxy
- Publish/Subscribe

The examples will be give using standard AMQP commands so the attendee can translate them later to her favorite RabbitMQ/AMQP client.

Analysis of a causal or time series relationship between two data sets (or functions) is important for fields from yield optimization to signal processing, stock market analysis to functional genomics, and many other applications.

This talk describes an algorithm developed by Karmasphere Labs for performing the entire family of cross correlation algorithms on arbitrarily large data sets. The algorithm supports wide or even unbounded windowing functions.

Kafka is a new distributed publish-subscribe system recently open sourced by LinkedIn designed to provide extremely high-throughput, reliable message passing. Kafka is focused on processing high-volume, site-critical stream activity and provides integration for loading data into Hadoop for further processing. Kafka is under heavy development and in active production use at LinkedIn.

Apache Lucene's next major release, 4.0, will introduce lots of flexibility into indexing, but also fundamental changes to the well-known APIs: It features a new and consistent, 4-dimensional iteration API on top of a low-level, pluggable codec API giving applications full control over the postings data. Terms are now arbitrary opaque bytes enabling users to store terms in any encoding, not necessarily UTF-8, natively in the index (e.g. numeric fields).