BT
You are now in FULL VIEW
CLOSE FULL VIEW

Tuning Java for Big Data
Recorded at:

| by Scott Seighman Follow 0 Followers on Oct 28, 2015 |
54:52

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.

Sponsored Content

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.

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.

Login to InfoQ to interact with what matters most to you.


Recover your password...

Follow

Follow your favorite topics and editors

Quick overview of most important highlights in the industry and on the site.

Like

More signal, less noise

Build your own feed by choosing topics you want to read about and editors you want to hear from.

Notifications

Stay up-to-date

Set up your notifications and don't miss out on content that matters to you

BT