Tuning Java for Big Data


Details
Abstract:
Want your Hadoop environment to sizzle like bacon? Perfect, because in the time it takes to fry 4 pounds of bacon, we’ll identify causes of common performance issues in Big Data environments, discuss heap size, garbage collection, and JVM reuse tuning guidelines plus recommend tools to analyze your Big Data application performance.
Speaker Bio:
Scott Seighman is a Systems Engineer with Oracle where his primary focus is architecting open solutions that span the computing landscape. Based in Cleveland, Scott is tasked with cultivating the technical staffs within Oracle's Partner community through training, workshops, webinars, product evaluations, and demos. Prior to joining Oracle, Scott spent 12 years with Sun Microsystems as a systems engineer, promoting Java technologies throughout the Midwest.
Location:
3 Summit Park Drive
Lower Level Auditorium
Independence, OH 44131
FYI, the building doors lock automatically at 6:00PM, please text or call Scott's mobile (440-567-3838) for entry after 6:00PM.
Meeting starts at 5:30PM (networking, food, drink), with the discussion beginning at 6:00PM. TEKSystems (http://www.teksystems.com/) is sponsoring food & drinks for the meeting.
Hope to see you there!

Tuning Java for Big Data