Schedule: NoSQL sessions

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Location: Ballroom F
Mark Atwood (HP Cloud Services)
Average rating: *****
(5.00, 1 rating)
Eucalpytus is a GPL open-source private cloud computing infrastructure platform that is compatible with Amazon Web Services. It has an undeserved reputation as being hard to provision, install, and operate. We hope to help dispel this reputation by walking through and talking through installation and operation of a small Eucalyptus cloud. Read more.
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Location: Ballroom E
Tom Hanlon (Cloudera)
Average rating: ****.
(4.00, 2 ratings)
HBase is an open source column store built on top of Hadoop. In this 45 minute session you will get a brief introduction into the design of HBase, and the underlying framework along with some usage examples. Read more.
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Location: Ballroom F
Tags: nosql, mongodb
Roger Bodamer (10gen)
Average rating: ***..
(3.33, 6 ratings)
MongoDB -- from "humongous" -- is an open source, non-relational, document-oriented database. Read more.
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Location: Ballroom F
Tags: nosql, mongodb
Eliot Horowitz (MongoDB)
Average rating: ***..
(3.43, 7 ratings)
While MySQL and MongoDB often fight over the same deployment, there are many cases where MySQL and MongoDB should be used in conjunction. They each excel at different things, so its important to understand when to use one or the other, and how to make them work well together. Eliot Horowitz is the CTO and Co-Founder of 10gen, the creators of MongoDB Read more.
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Location: Ballroom A
Corey Donohoe (GitHub)
Average rating: ***..
(3.67, 3 ratings)
GitHub's history with MySQL and what we've built off of it. Read more.
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Location: Ballroom F
J Chris Anderson (Couchbase)
Average rating: ****.
(4.60, 5 ratings)
Apache CouchDB implements a reliable storage engine, webserver, and HTTP application server environment, in under 20k lines of Erlang and JavaScript source code (with an additional X lines of test code.) I'll show 3 related examples that strike at the core of CouchDB's simplicity: The storage engine, the incremental map reduce views, and replication. Read more.
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Location: Ballroom G
Eran Levin (Xeround)
If you thought running a database in the cloud was easy, think again. Databases in a cloud environment are inherently different from traditional installations in a datacenter or even in your trusted hosted environment. Today I'll explain the four key considerations we believe every system architect should take into account when designing their database for the cloud. Read more.
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Location: Ballroom H
Tags: nosql, redis
Tim Lossen (wooga - world of gaming)
Average rating: **...
(2.50, 2 ratings)
As an in-memory database, Redis offers an order-of-magnitude reduction in query roundtrip latency, but also introduces new challenges. This case study recounts how we successfully scaled up two Facebook games with Redis, and what we learned on the way. Read more.
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Location: Ballroom G
John David Duncan (Oracle Corp.), Edwin DeSouza (Oracle)
The next major release of Memcached, memcached 1.6, will support loadable storage engines to manage cached data. The NDB Engine for Memcached allows MySQL Cluster and Memcached to be used together in a wide variety of ways, and can be individually configured for particular memcached key prefixes. The presentation will include an overview, how-tos, and benchmarks. Read more.
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Location: Ballroom A
Cory Zue (Dimagi)
Average rating: *****
(5.00, 1 rating)
People talk about NoSQL in the context of distributed cloud-based web applications, but what if your application needs to be deployed throughout rural Africa, with limited computer resources, intermittent power, and above all, extremely unreliable internet? This talk discusses the features of CouchDB that make it uniquely suited for developing world health applications. Read more.
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Location: Ballroom F
Peter Zaitsev (Percona Inc), Richard Kelm (Sphinx Search)
Average rating: ****.
(4.00, 3 ratings)
Sphinx Search Engine is a well known tool for dealing with full text search problems on the large scale, but did you know you can use Sphinx for other tasks, which your traditional database may not be well suited for. This presentation will look into practical cases of using Sphinx beyond full text search and provide performance comparison to using MySQL for the same task. Read more.
  • EnterpriseDB
  • Amazon Web Services
  • Clustrix
  • Continuent
  • Facebook
  • HTI Consultoria e Tecnologia
  • Monty Program
  • Percona
  • Rackspace Hosting
  • Schooner Information Technology
  • SkySQL
  • Xeround

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