Personal schedule for Sarah Novotny
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Join Tomas Ulin, Oracle’s Vice President of MySQL Engineering, as he summarizes MySQL’s first year under Oracle’s stewardship, discusses the current and ongoing engagement with the MySQL user community and offers insights into future roadmaps and commitment to MySQL products.
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In the State of the Elephant keynote, Ed Boyajian, CEO of EnterpriseDB, and Bruce Momjian, Co-Founder of The Global PostgreSQL Development Group, will present an overview of the PostgreSQL Community.
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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.
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We present some simple rules to understand effective indexing techniques without requiring an understanding of the underlying data structures that store the data.
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When replication fails, it can be difficult to fix. This talk will show you how to diagnose the failure and, when possible, safely resume replication.
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This talk will cover some of the less common linux tuning options, and how they can benefit MySQL performance, and benchmark results showing real impacts (or lack thereof) of tuning.
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Google engineers talk about the long fight against the specter of data drift. Starting from historical FUD about data drift, Google SREs will discuss design and implementation of a solution to detect data drift on any slave without downtime, and lessons learned from deployment and running in a world with detection.
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Elasticity is a key characteristic of public, private and hybrid clouds. Virtual machines can be spun up and spun down at a moment's notice. But how do databases behave in clouds?
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What’s the forecast for Drizzle, a database optimized for Cloud and Net applications? Brian provides an overview of the Drizzle project’s current state as well as what’s ahead.
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Whether running with commodity servers on premise or in the cloud, there are many failure scenarios to protect your database against. In this session we will walk through the different types of replication possible with both self-managed MySQL deployments and managed Amazon Relational Database Service cloud deployments, understanding how they can help improve your availability and durability.
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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.
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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
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Taking lessons from the PostgreSQL community, and recent experience with the growing communities around the forks of MySQL, this talk will lead business owners, project managers and developers through best practices for connecting to and being successful working with open source database developers.
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Most of high scale web applications use memcached + MySQL or NoSQL. It is said that NoSQL performs better than MySQL for simple access patterns such as primary key lookups. But things are changing. DeNA recently developed HandlerSocket plugin, a MySQL plugin speaking NoSQL protocols. We got 750,000+ qps in our benchmarks and runs pretty well on our production. We'd like to share our experiences.
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If you had five minutes on stage what would you say? What if you only got 20 slides and they rotated automatically after 15 seconds? Would you pitch a project? Launch a web site? Teach a hack? We’ll find out this year at Ignite MySQLconf.
Ignite MySQLconf will happen on Wednesday, April 13 at 7:00pm.
The call for Ignite MySQLconf talk proposals now closed.
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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.
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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.
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If you missed Ignite MySQLconf on Wednesday evening, come check out the Best of Ignite - several fun, high-energy “speed presentations” given by people like you.
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MySQL's replication system has been a core feature often touted for scaling (sort of) and redundancy (sort of). I'll describe a client's extensive use of MySQL replication (they have more than 200 MySQL instances replicating to one another) as a reference for the many uses and misuses of replication.
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Now that you've decided to use Drizzle for everything, you're going to want to tune it to get the best out of your system. Some of the things you know from MySQL apply, some don't. Let's look at some real numbers and real graphs and see what Drizzle is doing.
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Drizzle has fixed many "gotcha" type things. Often we find ourselves saying "fixed in Drizzle". This is a whirlwind tour of what that is.
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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.
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Keynote by Jeremy Cole, DBA Team Lead and MySQL Architect, Twitter.
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