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InfoQ Homepage Presentations Tuning Java for Big Data

Tuning Java for Big Data

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Summary

Scott Seighman discusses causes of common performance issues in Big Data environments, heap size, garbage collection, JVM reuse tuning guidelines and Big Data performance analysis tools.

Bio

Scott Seighman is a Systems Engineer with Oracle where his primary focus is architecting open solutions that span the computing landscape. Prior to joining Oracle, Scott spent 12 years with Sun Microsystems as a systems engineer, promoting Java technologies (ME, SE, EE) throughout the Midwest. Scott also facilitates the Cleveland Java Meetup.

About the conference

Code PaLOUsa is a conference designed to cover all aspects of software development regardless of technology stack. It has sessions revolving around Microsoft, Java, and other development platforms; along with session on higher levels that are platform agnostic. The conference schedule will feature presentations from well-known professionals in the software development community.

Recorded at:

Oct 28, 2015

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