Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA
Miklos Christine

Miklos Christine
Solutions Engineer, Databricks

@Miklos_C

Miklos Christine (@Miklos_C) is currently a system engineer at Cloudera where he helps strategic customers deploy and use the Apache Hadoop ecosystem in production. He has contributed to several projects in the open source community, previously worked on the design and implementation of the system infrastructure for the OS that runs on Cisco’s routers and switches, and holds a BS in Electrical Engineering & Computer Sciences from Berkeley.

Sessions

1:30pm–5:00pm Wednesday, 02/18/2015
Hadoop Platform
Location: 210 A/E
Kathleen Ting (Cloudera), Philip Zeyliger (Cloudera), Philip Langdale (Cloudera), Miklos Christine (Databricks)
Average rating: ****.
(4.33, 6 ratings)
Hadoop is emerging as the standard for big data processing & analytics. However, as usage of the Hadoop clusters grow, so do the demands of managing and monitoring these systems. In this tutorial, attendees will get an overview of all phases for successfully managing Hadoop clusters, with an emphasis on production systems. Read more.
10:40am–11:20am Thursday, 02/19/2015
Office Hour
Location: Table A
Philip Zeyliger (Cloudera), Philip Langdale (Cloudera), Kathleen Ting (Cloudera), Miklos Christine (Databricks)
Tap into a combined 16 years of Hadoop ops experience. Stop by and ask Philip, Miklos, Kathleen, and Philip about debugging and tuning between the different layers (app, hadoop, jvm, kernel, and networking), and using tools and subsystems to keep your Hadoop clusters always up, running, and secure. Read more.
1:30pm–2:10pm Thursday, 02/19/2015
Office Hour
Location: Table C
Miklos Christine (Databricks), Kathleen Ting (Cloudera)
Having issues with running Spark on YARN or porting your existing MR1 jobs over to YARN? Miklos and Kathleen will help you troubleshoot things like service management, monitoring & diagnostics, and extensibility. Read more.
4:00pm–4:40pm Thursday, 02/19/2015
Hadoop Platform
Location: 210 B/F
Kathleen Ting (Cloudera), Miklos Christine (Databricks)
Average rating: ***..
(3.50, 2 ratings)
The next generation of MapReduce, YARN, has widely touted job throughput and Apache Hadoop cluster utilization benefits. Less known are the pitfalls littering the migration path to YARN. Learn from our extensive field experience to avoid those pitfalls and get your YARN cluster configured right the first time. Read more.