Sessions at OSCON Data 2011 on Tuesday 26th July in C123

PostgreSQL continues to provide a major release every year full of improvements, better performance and features that measure up to the most popular commercial databases. Our 2011 release, 9.1, is no exception!

In November, Facebook launched a new version of Messages that combines chat, SMS, email, and Messages into a real-time conversation. Facebook relies on Apache HBase, a NoSQL-style database, for storing this real-time message data. This talk will elaborate on our decision process, system configuration, scaling issues, and advantages gained by choosing Open Source.

Keeping a busy site going when you don't have a lot of servers or developer resources can be a struggle. Hear what we did at Daily Kos to make the most of what we had to bring MySQL in line, make it quick, and keep the users and the boss happy.

Building large data applications can present a unique set of technical challenges because things that often work well in the conventional development environment can become incredibly arduous or expensive when applied on a much bigger scale. This talk will cover some of those challenges and potential solutions for each.

This language-agnostic proposal focuses upon concepts and strategies critical to the design and implementation of asynchronous systems and data processing layers. Key components include a survey of implementation strategies for non-blocking edge tiers, patterns for building out a distributed worker / processing tier, along with several horror stories of cascading failures and their resolution.

Time Series sensors are being ubiquitously integrated in places like cell phones, environmental sensors, and the smart grid. As we scale out this type of data RDBMS systems strain to scale with the high insertion rates and real time query requirements. In this talk we introduce “Lumberyard” which is a scalable indexing and low latency fuzzy pattern searching time series data.