Conquering Big Data with MySQL and Shard Query
Monday, June 17, 2013 - 13:30 to 14:00
Traditional databases often suffer from performance problems in the face of big data. This talk will describe the typical challenges in handling a particular type of big data: machine generated data. This includes data sets which contain detailed advertising hit and click information, historical sales transaction records, web logs, or even scientific sensor data. Once the challenges are understood, Shard-Query will be introduced and the major features briefly described, as well as how each feature helps address the challenges. Finally, performance differences between Shard-Query and “vanilla” MySQL will be made.
Senior MySQL Instructor
Justin is one of our MySQL senior instructors in the Percona training team. Justin grew up in Pennsylvania and is the son of a coal miner and steel worker. Justin has worked for brick and mortar companies in the manufacturing sector and also for Internet services companies such as Easynews, Yahoo, and AdBrite. He was also a consultant at Proven Scaling. Justin has extensive operational experience, which allows him to provide real-life answers and examples in response to the questions which students raise during training classes.
Data warehousing, materialized views, and OLAP analysis are topics of extreme interest to Justin. He created and maintains Flexviews, a materialized view toolkit for MySQL, and he has contributed bug fixes and patches to the MySQL source code. Justin is also very interested in column store databases and data-flow technology.
Justin currently works mainly out of his home in the San Francisco bay area, but can frequently be found traveling around the country for training, consulting, and speaking engagements.