Get the free Ebook:
Private and Open Data in Asia: A Regional Guide.
Hadoop is emerging as the standard for big data processing and analytics. However, as usage of Hadoop clusters grow, so do the demands of managing and monitoring these systems.
In this tutorial, attendees will get an overview of all phases of successfully managing Hadoop clusters, with an emphasis on production systems — from installation to configuration management, service monitoring, troubleshooting, and support integration.
We will review tooling capabilities and highlight the ones that have been most helpful to users, and share some of the lessons learned and best practices from users who depend on Hadoop as a business-critical system.
Kathleen Ting is a technical account manager at Cloudera where she helps strategic customers deploy and use the Apache Hadoop ecosystem in production. She’s a frequent conference speaker, has contributed to several projects in the open source community, and is a committer and PMC member on Apache Sqoop. Kathleen is also a co-author of O’Reilly’s Apache Sqoop Cookbook.
Jonathan Hsieh is a software engineer at Cloudera. He is an Apache HBase committer, and Apache Flume founder.
Philip Langdale is the engineering lead for cloud at Cloudera. He joined the company as one of the first engineers building Cloudera Manager and served as an engineering lead for that project until moving to working on cloud products. Previously, Philip worked at VMware, developing various desktop virtualization technologies. Philip holds a bachelor’s degree with honors in electrical engineering from the University of Texas at Austin.
Kostas Sakellis is the lead and engineering manager of the Apache Spark team at Cloudera. Kostas holds a bachelor’s degree in computer science from the University of Waterloo, Canada.
Comments on this page are now closed.
©2015, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com
Apache Hadoop, Hadoop, Apache Spark, Spark, and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries, and are used with permission. The Apache Software Foundation has no affiliation with and does not endorse, or review the materials provided at this event, which is managed by O'Reilly Media and/or Cloudera.