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.


Zburivsky Danil
Big Data Consultant / Solutions Architect , Pythian
Danil Zburivsky, Big Data Consultant/Solutions Architect, Pythian. Danil has been working with databases and information systems since his early years in university, where he received a Master's Degree in Applied Math. Danil has 7 years of experience architecting, building and supporting large mission-critical data platforms using various flavours of MySQL, Hadoop and MongoDB. He is also the author of “Hadoop Cluster Deployment” book. Besides databases Danil is interested in functional programming, machine learning and rock climbing.