Schedule: Cloud Computing sessions

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Location: Ballroom C
Sarah Sproehnle (Cloudera, Inc.)
Average rating: ****.
(4.00, 3 ratings)
Apache Hadoop is a distributed, batch-processing system for large data sets. It can be used alongside relational databases to enable more effective reporting and injestion of large amounts of raw or unstructured data. Read more.
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Location: Ballroom D
John Smiley (Amazon.com)
Average rating: **...
(2.14, 7 ratings)
Amazon engineers share experiences managing a large fleet of MySQL databases. Read more.
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Location: Ballroom F
Tags: ec2
Anders Karlsson (Recorded Future)
Average rating: ***..
(3.50, 2 ratings)
Does it really work well to have large amount of data on Amazon EC2? Yes it does, but it does require some careful thinking and testing. EC2 is not like your standard Linux box when in terms of cabability of sustaining a high load and large amounts of data. But it can sure be done, but in a different way. This talk is about what Recorded Future has experienced when working with EC2. Read more.
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Location: Ballroom F
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 A
Walt Jones (SEOmoz)
Moving rarely accessed data out of your main database can have a big impact on speed and cost. This session covers techniques to analyze the granularity of your data and implement an archival strategy that allows you to recall archived data on demand. Read more.
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Location: Ballroom F
Eric Day (craigslist)
Average rating: **...
(2.00, 2 ratings)
The OpenStack project was launched last summer by Rackspace, NASA, and a number of other cloud technology leaders in an effort to build a fully-open cloud computing platform. It is a collection of scalable, secure, standards-based projects currently consisting of OpenStack Compute and OpenStack Object Storage. This session will introduce the projects, principles behind it, and how to get started. Read more.
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Location: Ballroom A
Dan Rogart (Zynga), mohan krishnan (Zynga)
Average rating: ***..
(3.33, 3 ratings)
We will examine the challenges faced by Zynga in running a large scale MySQL plant in EC2. Serving our social games to millions of players around the globe has required significant investment in automation and performance optimization to the thousands of MySQL instances that drive the games. Delivering high performance in the cloud requires a unique approach to support high CPU and I/O demands. 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 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 E
Venu Anuganti (ScaleIN)
Average rating: *....
(1.00, 1 rating)
This is a DBA or Data Architect perspective session which covers designing MySQL as data warehouse solution to handle tera bytes of data which compromises OLTP, ETL, OLAP and reporting 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 E
Kevin Knapp (Facebook)
Average rating: ***..
(3.80, 5 ratings)
A real-world example of how re-sharding and table partitioning cut load data times in Facebook's analytics infrastructure from greater than 24 hours to less than 5 minutes. Read more.
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Location: Ballroom A
Matt Ingenthron (Couchbase, Inc.)
Average rating: ****.
(4.00, 1 rating)
With contemporary web applications, data is never isolated to one store. Memcached has long been a partner to MySQL; now Membase, a persistent, replicated, clustered memcached-protocol-compatible datastore is used alongside MySQL for simple, fast key-value access. This session will dispel the idea of needing to choose between SQL or NoSQL, showing how you can be both rich and fast. Read more.
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Location: Ballroom C
Moshe Shadmon (ScaleDB)
ScaleDB is a pluggable storage engine for MySQL. It turns MySQL into an enterprise-class, highly-available, clustered database that scales dynamically in a public and private cloud. Read more.
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Location: Ballroom E
Sunny Gleason (SunnyCloud)
Average rating: ****.
(4.00, 2 ratings)
This presentation introduces the St8 server, an open-source, REST-enabled storage service built using Jersey, Jetty, Guice, and most importantly, HailDB (formerly Embedded InnoDB). We describe interfacing HailDB with Java using JNA, and review benchmarks showing just how fast the service can be (including SSD as well as single-disk and RAID0 benchmarks). 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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