Virtual nodes were added to Cassandra in version 1.2 and are now the default distribution model for the newly released Cassandra 2.0. We will show you how virtual nodes make token management a thing of the past, improve the failure characteristics, improve bootstrapping and decommission speed, make incremental cluster growing and shrinking possible, and much more

Graph databases help you to express the connections in your data. Simply by visualising those connections, you have a simple analysis tool, and a compelling user interface.

After this talk you will see and clearly understand where Couchbase fits in the "CAP Theorem" and see which tradeoffs have been made by the Couchbase development team.

Simplify, then Scale the Data Model: Using a Document-Oriented Database

"Simplify, then add lightness." was Colin Chapman's advice to those seeking performance in auto racing. When deciding where to store the data behind interactive web apps, we developers can now implement such a philosophy through Document-Oriented databases like Couchbase Server. In Couchbase's document-oriented model, the primitive operations operate on data aggregates just like the Java object model behind your application.

Storage and retrieval are done with lightweight operations such as 'get' and 'set'. Indexing and querying is done with Couchbase's views to incrementally map-reduce extract document subelements on demand. Performance in development time, sub-millisecond data access and massive scale come together in this formula.

Whether or not you're convinced by the buzz around NOSQL, we're undeniably experiencing a reinvigorated interest in data and data technologies.

Hosted Graphite is a SaaS product that offers a hosted version of the popular open source Graphite metrics and graphing project. The service handles 1.5 billion datapoints per day and uses Riak and Redis to do it.

ElasticSearch combines the power of Apache Lucene (NoSQL since 2001)and the movement of distributed, scalable high-performance NoSQL solutions into easy to use schema free search engine that can serve full-text search request, key-value lookups, schema free analytics requests, facets or even suggestions in real-time.

Storm, a popular framework from Twitter, is used for real-time event processing. The challenge presented is how to manage the state of your real-time data processing at all times. In addition, you need Storm to integrate with your batch processing system (such as Hadoop) in a consistent manner.

This session will demonstrate how to integrate Storm with an in-memory database/grid, and explore various strategies for integrating the data grid with Hadoop and Cassandra, seamlessly. By achieving smooth integration with consistent management, you will be able to easily manage all the tiers of you Big Data stack in a consistent and effective way.