Follow Us on Twitter
Facebook Page
LinkedIn Group
Sign up for the Bulletin
MySQL 2010 Video on YouTube
MySQLConf RSS Feed
MySQLConf Schedule
Speaker Slides & Videos
MySQLConf Attendee DirectoryPersonal schedule for Tao Cheng
Download or subscribe to Tao Cheng's schedule.
Peter Zaitsev (Percona Inc)
Average rating:
(3.60, 5 ratings)
MySQL Performance Schema is a new performance analyzes tool in MySQL 5.5, learn how to use it for Performance Optimization tasks.
Read more.
Architecture and Technology,
Cloud Computing,
Data Warehousing and Business Intelligence
Location: Ballroom C
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.
Ryan Thiessen (Facebook)
Average rating:
(4.67, 9 ratings)
Getting sharding right is crucial for achieving high scale with MySQL on commodity hardware like we do at Facebook. We will overview sharding best practices, and show some examples of both successful and unsuccessful methods at sharding MySQL.
Read more.
Danil Zburivsky (The Pythian Group)
Average rating:
(4.20, 5 ratings)
Production schema changes are painful but unavoidable. This session will tell you how to
minimize (or totally eliminate) downtime during schema changes with master-master setup or by using "shadow" tables.
Session will focus on pros and cons of each approach and describe most common use cases.
Read more.
Peter Zaitsev (Percona Inc)
Average rating:
(2.86, 7 ratings)
It takes a lot to deliver consistent high performance for your MySQL powered system. In this presentation we'll look at defining Performance Goals, understanding Architecture Scalability and performing Capacity Planing.
Read more.
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.
Roger Bodamer (10gen)
Average rating:
(3.33, 6 ratings)
MongoDB -- from "humongous" -- is an open source, non-relational, document-oriented database.
Read more.
Harrison Fisk (Facebook),
Domas Mituzas (Facebook)
Average rating:
(3.80, 15 ratings)
Running MySQL at a scale of Facebook leads to many unique problems. We will
discuss some of the performance problems seen in production systems and the tools and
techniques involved in solutions.
Read more.
Eliot Horowitz (10gen)
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.
Architecture and Technology,
NoSQL,
Storage Engine Development and Optimization
Location: Ballroom F
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.
Architecture and Technology,
Business and Case Studies,
Memcached,
NoSQL,
Ruby and MySQL,
Storage Engine Development and Optimization
Location: Ballroom A
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.
Architecture and Technology,
Performance Tuning and Benchmarking,
Replication and Scale-Out
Location: Ballroom A
Location: Ballroom A
Tao Cheng (AOL)
Average rating:
(3.00, 3 ratings)
AOL deployed its large scale Real Time News (RTN) system in 2007. This system receives news updates from over 30,000 sources on every second around the clock. Today, its data store, MySQL, has accumulated over several billions of rows and terabytes of data. However, news are delivered to end users in close to real time fashion. This presentation shares how it is done and the lessons learned.
Read more.
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.
Yekesa Kosuru (Nokia),
Peter Zaitsev (Percona Inc)
Average rating:
(3.00, 1 rating)
The “NoSQL” movement is typically related to key-value systems and, lacking a formal definition, can be interpreted many ways. NoSQL discussions that focus on availability and scalability highlight ACID issues but not really SQL.
The key-value systems can be built many ways and relational databases as a back end is a serious contender.
Read more.
Architecture and Technology,
Cloud Computing,
Memcached,
Replication and Scale-Out
Location: Ballroom A
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.
Please note:
This and all other keynotes will be live streamed and recorded.
Baron Schwartz (VividCortex Inc)
Average rating:
(5.00, 13 ratings)
The last few years have brought technological and market shifts that have disrupted open-source databases. These include cloud computing, solid-state storage, non-SQL databases, and MySQL's acquisition. In this keynote presentation, Baron Schwartz will discuss the new reality
that faces open-source database users and developers.
Read more.
Please note:
This and all other keynotes will be live streamed and recorded.
Mike Olson (Cloudera)
Average rating:
(3.83, 12 ratings)
The meteoric growth of MySQL through the 1990s and 2000s were marked by some big in the enterprise database market -- a willingness to adopt open source software for critical business applications, and the emergence of a new class of database-backed web applications that needed a simpler, cheaper and more flexible storage model than the established vendors provided.
Read more.
Antony Curtis (Blizzard Entertainment)
Antony shows the OQGRAPH engine in MariaDB 5.2, allowing you to deal with graphs (networks) for social networking, hierarchies and other complex structures, all in plain clean SQL.
Read more.
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.
Architecture and Technology,
Cloud Computing,
Data Warehousing and Business Intelligence,
MySQL Cluster and High Availability,
Performance Tuning and Benchmarking,
Replication and Scale-Out,
Storage Engine Development and Optimization
Location: Ballroom C
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.
Darpan Dinker (Schooner Information Technology, Inc.),
Brian O’Krafka (Schooner Information Technology)
Most MySQL deployments use some form of replication. Whether the reason is availability, scalability, backup, disaster recovery or archiving, understanding the 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, this session is for you.
Read more.
Average rating:
(4.33, 3 ratings)
The Facebook database engineering team works with the community and on its own to make MySQL better for data center deployments. This work is visible in the Facebook patch, bugs fixed in 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.
Read more.
Diamond Sponsor
Gold Sponsors
Sponsorship Opportunities
For information on exhibition and sponsorship opportunities at the conference, contact Yvonne Romaine at yromaine@oreilly.com
Media Partners Opportunities
For media partnerships, contact mediapartners@ oreilly.com
Press & Media
For media-related inquiries, contact Maureen Jennings at maureen@oreilly.com
O'Reilly MySQL Conference Bulletin
To stay abreast of conference news and to receive email notification when registration opens, please sign up for the O'Reilly MySQL Conference Bulletin (login required).
Contact Us
View a complete list of O'Reilly MySQL Conference Contacts
©2011, O'Reilly Media, Inc.
(800) 889-8969 or (707) 827-7019
Monday-Friday 7:30am-5pm PT
All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners.
conf-webmaster@oreilly.com