The Percona Live MySQL Conference and Expo
Discover the Power of MySQL » MySQL is the world's most popular open-source database, powering web-scale applications such as Facebook, YouTube, and Twitter. MySQL continues to evolve rapidly, reaching more markets and powering more applications every day.
The Percona Live MySQL Conference and Expo is the premiere event for this rich and diverse ecosystem. It is the place to be for the open-source community, as well as the business marketplace within which MySQL thrives.
Percona Live is a meeting ground for the most dynamic exchange of knowledge and information about MySQL and closely related technologies. Experts and newcomers alike share their experiences and challenges, and network to enhance their careers and make their companies succeed. The speakers, program committee, and corporate sponsors are the most influential in the MySQL ecosystem.
In just three days, this deeply technical event will help you reach the next level in skills and knowledge:
- A day of tutorials will give you hands-on experience in solving problems and architecting systems with MySQL
- Attend two days of conference sessions, with speakers from the world's largest MySQL deployments
- Meet the leading companies in the MySQL world face-to-face in the expo hall, and discover revolutionary products and services
- Network at the evening birds-of-a-feather events, lightning talks, and social meetings
- Learn about MySQL, Percona Server, MariaDB, and Drizzle
- Discover how to integrate MySQL with related technologies, such as memcached, Sphinx, MongoDB, PHP, Ruby on Rails, and Java
- Learn how to scale, optimize, and tune the MySQL server and LAMP stack
- Learn how to use MySQL with emerging technologies such as cloud computing, solid-state storage, and NoSQL databases
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
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| Introduction to MapReduce with Hadoop on Linux | Jun 05, 2013 |
- Containers—Not Virtual Machines—Are the Future Cloud
- Non-Linux FOSS: libnotify, OS X Style
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Linux Systems Administrator
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- Introduction to MapReduce with Hadoop on Linux
- RSS Feeds
- Weechat, Irssi's Little Brother
- New Products
- Developer Poll
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Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?



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