BEGIN:VCALENDAR
X-WR-CALNAME:O'Reilly MySQL Conference & Expo 2011
VERSION:2.0
PRODID:Expectnation
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110412T115000
DTSTART;TZID=US/Pacific:20110412T105000
DTSTAMP:20110418T192654
LOCATION:Ballroom E
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17119
UID:http://mysqlconf.com/--s2011-04-12-10:50--17119
SUMMARY:Using MySQL 5.5 Performance Schema
DESCRIPTION:Presented by Peter Zaitsev (Percona Inc). MySQL Performance 
 Schema is a new performance analyzes tool in MySQL 5.5, learn how to use
  it for Performance Optimization tasks.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110412T115000
DTSTART;TZID=US/Pacific:20110412T105000
DTSTAMP:20110413T162213
LOCATION:Ballroom C
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/16850
UID:http://mysqlconf.com/--s2011-04-12-10:50--16850
SUMMARY:Leveraging Hadoop to Augment MySQL Deployments
DESCRIPTION:Presented by Sarah Sproehnle (Cloudera, Inc.). Apache Hadoop
  is a distributed, batch-processing system for large data sets.  It can 
 be used alongside relational databases to enable more effective reportin
 g and injestion of large amounts of raw or unstructured data.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110412T124000
DTSTART;TZID=US/Pacific:20110412T115500
DTSTAMP:20110416T151521
LOCATION:Ballroom E
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17429
UID:http://mysqlconf.com/--s2011-04-12-11:55--17429
SUMMARY:The Secret Sauce of Sharding
DESCRIPTION:Presented by Ryan Thiessen (Facebook). Getting sharding righ
 t is crucial for achieving high scale with MySQL on commodity hardware l
 ike we do at Facebook.  We will overview sharding best practices, and sh
 ow some examples of both successful and unsuccessful methods at sharding
  MySQL.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110412T150000
DTSTART;TZID=US/Pacific:20110412T140000
DTSTAMP:20110419T125104
LOCATION:Ballroom C
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17273
UID:http://mysqlconf.com/--s2011-04-12-14:00--17273
SUMMARY:Dealing with Schema Changes on Large Data Volumes
DESCRIPTION:Presented by Danil Zburivsky (The Pythian Group). Production
  schema changes are painful but unavoidable. This session will tell you 
 how to  minimize (or totally eliminate) downtime during schema changes w
 ith master-master setup or by using "shadow" tables.  Session will focus
  on pros and cons of each approach and describe most common use cases.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110412T155000
DTSTART;TZID=US/Pacific:20110412T150500
DTSTAMP:20110418T193333
LOCATION:Ballroom A
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17122
UID:http://mysqlconf.com/--s2011-04-12-15:05--17122
SUMMARY:Performance Best Practices for MySQL
DESCRIPTION:Presented by Peter Zaitsev (Percona Inc). It takes a lot to 
 deliver consistent high performance for your MySQL powered system. In th
 is presentation we'll look at defining Performance Goals, understanding 
 Architecture Scalability and performing Capacity Planing.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110412T171000
DTSTART;TZID=US/Pacific:20110412T162500
DTSTAMP:20110413T203013
LOCATION:Ballroom E
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17652
UID:http://mysqlconf.com/--s2011-04-12-16:25--17652
SUMMARY:Introduction to HBase
DESCRIPTION:Presented by Tom Hanlon (Cloudera). 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 f
 ramework along with some usage examples.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110412T180000
DTSTART;TZID=US/Pacific:20110412T171500
DTSTAMP:20110415T055110
LOCATION:Ballroom F
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17186
UID:http://mysqlconf.com/--s2011-04-12-17:15--17186
SUMMARY:Building Your First Web Application with MongoDB
DESCRIPTION:Presented by Roger Bodamer (10gen). MongoDB -- from "humongo
 us" -- is an open source, non-relational, document-oriented database.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110413T115000
DTSTART;TZID=US/Pacific:20110413T105000
DTSTAMP:20110419T123156
LOCATION:Ballroom C
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17510
UID:http://mysqlconf.com/--s2011-04-13-10:50--17510
SUMMARY:MySQL State of the Art at Facebook
DESCRIPTION:Presented by Harrison Fisk (Facebook), Domas Mituzas (Facebo
 ok). Running MySQL at a scale of Facebook leads to many unique problems.
   We will discuss some of the performance problems seen in production sy
 stems and the tools and techniques involved in solutions.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110413T124000
DTSTART;TZID=US/Pacific:20110413T115500
DTSTAMP:20110416T151621
LOCATION:Ballroom F
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17465
UID:http://mysqlconf.com/--s2011-04-13-11:55--17465
SUMMARY:MySQL and MongoDB joined at the hip
DESCRIPTION:Presented by Eliot Horowitz (10gen). 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 differen
 t things, so its important to understand when to use one or the other, a
 nd how to make them work well together.   Eliot Horowitz is the CTO and 
 Co-Founder of 10gen, the creators of MongoDB
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110413T150000
DTSTART;TZID=US/Pacific:20110413T140000
DTSTAMP:20110418T022720
LOCATION:Ballroom F
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17618
UID:http://mysqlconf.com/--s2011-04-13-14:00--17618
SUMMARY:CouchDB Simplicity
DESCRIPTION:Presented by J Chris Anderson (Couchbase). Apache CouchDB im
 plements a reliable storage engine, webserver, and HTTP application serv
 er 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.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110413T150000
DTSTART;TZID=US/Pacific:20110413T140000
DTSTAMP:20110414T223049
LOCATION:Ballroom A
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17607
UID:http://mysqlconf.com/--s2011-04-13-14:00--17607
SUMMARY:MySQL at GitHub
DESCRIPTION:Presented by Corey Donohoe (GitHub). GitHub's history with M
 ySQL and what we've built off of it.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110413T155000
DTSTART;TZID=US/Pacific:20110413T150500
DTSTAMP:20110421T154842
LOCATION:Ballroom A
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17191
UID:http://mysqlconf.com/--s2011-04-13-15:05--17191
SUMMARY:Building and Deploying Large Scale Real Time News System with My
 SQL and Distributed Cache
DESCRIPTION:Presented by Tao Cheng (AOL). AOL deployed its large scale R
 eal Time News (RTN) system in 2007. This system receives news updates fr
 om over 30,000 sources on every second around the clock. Today, its data
  store, MySQL, has accumulated over several billions of rows and terabyt
 es of data. However, news are delivered to end users in close to real ti
 me fashion. This presentation shares how it is done and the lessons lear
 ned.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110413T171000
DTSTART;TZID=US/Pacific:20110413T162500
DTSTAMP:20110416T151830
LOCATION:Ballroom E
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17527
UID:http://mysqlconf.com/--s2011-04-13-16:25--17527
SUMMARY:Partitioning Saves Load Data
DESCRIPTION:Presented by Kevin Knapp (Facebook). 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 min
 utes.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110413T171000
DTSTART;TZID=US/Pacific:20110413T162500
DTSTAMP:20110419T123221
LOCATION:Ballroom F
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17289
UID:http://mysqlconf.com/--s2011-04-13-16:25--17289
SUMMARY:NoSQL with MySQL
DESCRIPTION:Presented by Yekesa Kosuru (Nokia), Peter Zaitsev (Percona I
 nc). The “NoSQL” movement is typically related to key-value systems and,
  lacking a formal definition, can be interpreted many ways. NoSQL discus
 sions that focus on availability and scalability highlight ACID issues b
 ut not really SQL.  The key-value systems can be built many ways and rel
 ational databases as a back end is a serious contender.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110413T180000
DTSTART;TZID=US/Pacific:20110413T171500
DTSTAMP:20110420T184220
LOCATION:Ballroom A
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17499
UID:http://mysqlconf.com/--s2011-04-13-17:15--17499
SUMMARY:Be Rich and Fast: Membase Key-Value Stores for Interactivity, My
 SQL for Full Queryability
DESCRIPTION:Presented by Matt Ingenthron (Couchbase, Inc.). With contemp
 orary 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 MyS
 QL 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.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110414T093000
DTSTART;TZID=US/Pacific:20110414T090000
DTSTAMP:20110419T125517
LOCATION:Ballroom EFGH
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17808
UID:http://mysqlconf.com/--s2011-04-14-09:00--17808
SUMMARY:Building on Strengths, Learning from Differences
DESCRIPTION:Presented by Baron Schwartz (VividCortex Inc). The last few 
 years have brought technological and market shifts that have disrupted o
 pen-source databases.  These include cloud computing, solid-state storag
 e, non-SQL databases, and MySQL's acquisition.  In this keynote presenta
 tion, Baron Schwartz will discuss the new reality that faces open-source
  database users and developers.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110414T100000
DTSTART;TZID=US/Pacific:20110414T093000
DTSTAMP:20110419T123302
LOCATION:Ballroom EFGH
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/19703
UID:http://mysqlconf.com/--s2011-04-14-09:30--19703
SUMMARY:The Next Decade in Data Management
DESCRIPTION:Presented by Mike Olson (Cloudera). The meteoric growth of M
 ySQL through the 1990s and 2000s were marked by some big in the enterpri
 se database market -- a willingness to adopt open source software for cr
 itical business applications, and the emergence of a new class of databa
 se-backed web applications that needed a simpler, cheaper and more flexi
 ble storage model than the established vendors provided.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110414T115000
DTSTART;TZID=US/Pacific:20110414T105000
DTSTAMP:20110208T102308
LOCATION:Ballroom D
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17189
UID:http://mysqlconf.com/--s2011-04-14-10:50--17189
SUMMARY:OQGRAPH: Dealing with Graphs and Hierarchies in Plain SQL
DESCRIPTION:Presented by Antony Curtis (Blizzard Entertainment). Antony 
 shows the OQGRAPH engine in MariaDB 5.2, allowing you to deal with graph
 s (networks) for social networking, hierarchies and other complex struct
 ures, all in plain clean SQL.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110414T124000
DTSTART;TZID=US/Pacific:20110414T115500
DTSTAMP:20110414T210458
LOCATION:Ballroom A
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17648
UID:http://mysqlconf.com/--s2011-04-14-11:55--17648
SUMMARY:Using CouchDB for Emerging World Healthcare Solutions
DESCRIPTION:Presented by Cory Zue (Dimagi). People talk about NoSQL in t
 he 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 unrelia
 ble internet?  This talk discusses the features of CouchDB that make it 
 uniquely suited for developing world health applications.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110414T144500
DTSTART;TZID=US/Pacific:20110414T140000
DTSTAMP:20110303T061344
LOCATION:Ballroom C
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17163
UID:http://mysqlconf.com/--s2011-04-14-14:00--17163
SUMMARY:Scaling MySQL in the Cloud
DESCRIPTION:Presented by Moshe Shadmon (ScaleDB). ScaleDB is a pluggable
  storage engine for MySQL. It turns MySQL into an enterprise-class, high
 ly-available, clustered database that scales dynamically in a public and
  private cloud.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110414T153500
DTSTART;TZID=US/Pacific:20110414T145000
DTSTAMP:20110307T200206
LOCATION:Ballroom H
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17301
UID:http://mysqlconf.com/--s2011-04-14-14:50--17301
SUMMARY:Performance comparisons and trade-offs for various MySQL replica
 tion schemes
DESCRIPTION:Presented by Darpan Dinker (Schooner Information Technology,
  Inc.), Brian O’Krafka (Schooner Information Technology). Most MySQL dep
 loyments use some form of replication. Whether the reason is availabilit
 y, scalability, backup, disaster recovery or archiving, understanding th
 e performance characterization and trade-offs is critical to design and 
 planning. If you have always wondered when and why to choose async/semi-
 sync/sync MySQL replication, DRBD or other interoperable technologies, t
 his session is for you.
END:VEVENT
BEGIN:VEVENT
DTEND;TZID=US/Pacific:20110414T153500
DTSTART;TZID=US/Pacific:20110414T145000
DTSTAMP:20110415T143657
LOCATION:Ballroom B
URL:http://en.oreilly.com/mysql2011/public/schedule/detail/17272
UID:http://mysqlconf.com/--s2011-04-14-14:50--17272
SUMMARY:Making MySQL Better for the Data Center
DESCRIPTION:Presented by Mark Callaghan (Facebook), Ryan Mack (Facebook)
 , Vamsi Ponnekanti (Facebook). The Facebook database engineering team wo
 rks with the community and on its own to make MySQL better for data cent
 er deployments. This work is visible in the Facebook patch, bugs fixed i
 n official MySQL and features sponsored in other distributions. We will 
 describe work to support a large number of large databases. We focus on 
 backup, replication and quality of service.
END:VEVENT
END:VCALENDAR