NoSQL East 2009 has come and gone, and we could not be happier with the results. An excellent crew of speakers dropped some serious knowledge on an attentive and eager audience. There were two entire days of talks, social events, mingling, and networking, bringing what we hope was immense value to all involved.
We were overwhelmed with the largely positive feedback we have received. And yet it is the sponsors, speakers, and attendees whom we feel need the praise. The sponsoring companies stepped up huge in assistance, and were all quite relevant to the NoSQL space, adding a ton to the proceedings. We can't say enough about the speakers. While most speakers honored the "more use cases" request, all of them provided compelling, thought-provoking talks. Finally, the attendees shocked us as they turned out in droves. The final total was 120 people, and this really made for great questions, interactions, and side conversations at every turn during our time in Atlanta.
For the curious, yes, we will post slides and videos of the talks on each speaker's page. Get to each speaker's page via the 'agenda' or 'speaker' commands. We will post them as they come online, and tweet updates from @nosqleast
We would like to hear feedback on every part of the conference. Use our twitter handle or email address to send it along, so we can make next year even better.
NoSQL East - Cocktail Welcome
sponsored by Basho Technologies
Tap, a gastropub - Map
Registration / Light Breakfast
John Willis - Keynote
Geir Magnusson - Voldemort
Cliff Moon - Dynomite
Mike Miller - CouchDB
Justin Sheehy - Riak
Arin Sarkissian - Cassandra
Kyle Banker - MongoDB
Tim Anglade - tin
sponsored by The Rackspace Cloud
Twisted Taco - Map
Matt Arrott - Keynote
Kevin Weil - Pig
Chris Curtin - Cascading
Emil Eifrem - Neo4J
Kevin Smith - Redis
John Corwin - Sherpa
Yuan Yu - Dryad / DryadLINQ
Mark Gunnels - HBase
Georgia Tech Research Institute - Conference Center
250 14th St. NW
Atlanta, GA 30318Map
sponsored by Basho Technologies
Tap, a gastropub
1180 W. Peachtree Street NE
Atlanta, GA 30309Map
Dynomite and the future of Distributed Databases
So what's the deal with Dynomite? Patches are not being accepted and development has crawled to a stop. Cliff will give everyone the inside scoop on what is happening with the Dynomite project and its current status vis open source. He will also discuss some ideas for the future of distributed databases.
note: Audio levels are low until 1:40
tin is a database engine so tiny, its name had to be shortened. More specifically, tin focuses on storage, retrieval, subscription and transformation of sequential data. Like many other "NoSQL" solutions, it is not meant as a general-use RDBMS replacement but finds all its strength when handling data such as Facebook walls, Twitter feeds or any multi-dimensional data that is primarily served or ordered along a single dimension (or single set of dimensions). The approach at the core of tin was first tested on financial data, in the back-end delivery service behind Nasdaq's Market Replay --- where it was able to serve petabytes worth of stock prices daily without breaking a sweat (or the piggy bank).
This talk will cover:
Many applications today handle data that is deeply associative, i.e. structured as graphs (networks). The most obvious example of this is social networking sites, but even tagging systems, content management systems and wikis deal with inherently hierarchical or graph-shaped data.
This turns out to be a problem because it is difficult to deal with recursive data structures in traditional relational databases and many NoSQL stores alike. For example, in an RDBMS each traversal along a link in a graph is a join, and joins are known to be very expensive.
A graph database uses nodes, relationships between nodes and key-value properties instead of tables to represent information. This model is typically substantially faster for associative data sets and uses a schema-less, bottoms-up model that is ideal for capturing ad-hoc and rapidly changing data.
This session will introduce an open source, high-performance, transactional and disk-based graph database called "Neo4j" (http://neo4j.org), which frequently outperforms relational backends with >1000x for graph-shaped data.