Add an eventSessions at SXSW Interactive 2011 about Data and Databases and NoSQL on Sunday 13th March
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Embracing NoSQL - Your First Cassandra Project
by Jared Carroll, Michael Wynholds, Rob Pak, Rudy Jahchan and Ryan King
What is Cassandra? What is NoSQL? Why are sites like Facebook, Twitter, Google and Digg all using these new technologies? And what does that mean to me?
The popularity of the NoSQL movement has exploded in the last year or two, as a number of these non-traditional data storage systems have gone from experimental curiosities to powerful production-ready engines that power the largest real-time social networking sites on the Web.
Born out of Facebook, Cassandra is one of super-hot players in this new movement. We recently had an opportunity to build a new social networking site using it for the first time, and we want to share what we learned.
In this presentation:
- You will discover the NoSQL movement and the big players who lead it.
- You will learn both *how* and *why* you should build your site using Cassandra.
- You will understand what Cassandra offers, and how it differs from traditional databases as well as other NoSQL competitors like CouchDB and MongoDB.
- You will walk through real code examples that can help you bootstrap your own Cassandra project.
- You will see where we stumbled along the way, so you can avoid making the same mistakes.
Code samples are in Ruby on Rails.
LEVEL: Intermediate
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Solr Power FTW: Make NoSQL Your Bitch!
by Grant Ingersoll and RC Johnson
Solr is an open source, Lucene based search platform originally developed by CNET and used by the likes of Netflix, Yelp, and StubHub which has been rapidly growing in popularity and features during the last few years. Learn how Solr can be used as a Not Only SQL (NoSQL) database along the lines of Cassandra, Memcached, and Redis.
NoSQL data stores are regularly described as non-relational, distributed, internet-scalable and are used at both Facebook and Digg.This presentation will quickly cover the fundamentals of NoSQL data stores, the basics of Lucene, and what Solr brings to the table. Following that we will dive into the technical details of making Solr your primary query engine on large scale web applications, thus relegating your traditional relational database to little more than a simple key store.
Real solutions to problems like handling four billion requests per month will be presented. We'll talk about sizing and configuring the Solr instances to maintain rapid response times under heavy load. We'll show you how to change the schema on a live system with tens of millions of documents indexed while supporting real-time results. And finally, we'll answer your questions about ways to work around the lack of transactions in Solr and how you can do all of this in a highly available solution.
LEVEL: Advanced