GOTO is a vendor independent international software development conference with more that 90 top speaker and 1300 attendees. The conference cover topics such as .Net, Java, Open Source, Agile, Architecture and Design, Web, Cloud, New Languages and Processes
Oren Eini, TweetHibernating Rhinos
Biography: Oren Eini
Oren Eini, pseudonym Ayende Rahien, is a frequent blogger at http://www.ayende.com/Blog/ has over 15 years of experience in the development world who strongly focuses on the Microsoft and .NET ecosystem. Oren has been recognized and awarded Microsoft's Most Valuable Professional since 2007.
He's an internationally acclaimed presenter appearing at DevTeach, JAOO, QCon, Oredev, NDC, Yow! and Progressive.NET conferences, sharing his knowledge via conferences and written works such as "DSLs in Boo: Domain Specific Languages in .NET", published by Manning (http://manning.com/rahien/) and now another book in the writings "Inside RavenDB"
He remains dedicated and focused on architecture and best practices that promote quality software and zero-friction development.
He's an internationally acclaimed presenter appearing at DevTeach, JAOO, QCon, Oredev, NDC, Yow! and Progressive.NET conferences, sharing his knowledge via conferences and written works such as "DSLs in Boo: Domain Specific Languages in .NET", published by Manning (http://manning.com/rahien/) and now another book in the writings "Inside RavenDB"
He remains dedicated and focused on architecture and best practices that promote quality software and zero-friction development.
Twitter: @ayende
Presentation: TweetHighly Available & Scalable Solutions with RavenDB
RavenDB is a 2nd generation document database, with built-in load distribution, seamless replication, disaster recovery and data-driven sharding.
In this session, we are going to explore how RavenDB deals with scaling under load and remain highly available even under failure conditions.
We'll see how RavenDB's data-driven sharding allows to increase the amount of the data in our cluster without giving up the benefits of data locality.
We are are going to execute complex distributed map-reduce queries on a sharded cluster, giving you lightning-fast responses over very large data volumes.