Optimized Integration between MySQL and Hadoop
Database Administration
24 April 1:00pm - 1:50pm @ Ballroom F
From tracking customers in online stores to tweets and blog posts, unstructured data is rapidly growing and businesses are looking for ways to analyze it.
In this presentation, I will explain why storing and processing unstructured data is a challenge best answered by specialized systems such as Hadoop, I will quickly review how Hadoop works and why it is such a scalable solution for managing unstructured data, and then I will review various methods of moving data between MySQL and Hadoop systems in my quest to find the fastest and most scalable way to get data from here to there.
Speakers
Zburivsky Danil
MySQL DBA & Team Lead, Pythian
Biography:
Originally from Ukraine, Danil has been working with different RDBMS since his early years in university. He holds a Master's Degree in Applied Math at the Donetsk National University in Ukraine where he also worked as a database developer on an accounting system. Danil got his first taste for MySQL while working as a DBA for Sonopia Corp, where he participated in the database design and support for a social mobile network application. In his current role as Team Lead, he is helping people all over the world to solve problems with their MySQL systems for Pythian (www.pythian.com), a leading, global database and application infrastructure services company.
