48th Bay Area Hadoop User Group (HUG) Monthly Meetup

Location:

SURF's Cafeteria

Building E, Yahoo

Agenda:

6:00 - 6:30 - Socialize over food and beer(s)

6:30 - 7:00 - Slider: Your apps on YARN

7:00 - 7:30 - Apache Oozie HA

7:30 - 8:00 - Hive on Spark

Session I (6:30 - 7:00 PM) – Slider: your apps on YARN

The incubating Apache Slider project lets people run their own applications on a YARN cluster —without having to worry about YARN integration themselves. Slider launches the application, helps configure it and reacts to failures. All an application should need is configuration and launch data and scripts.
Steve will introduce slider, demonstrate it at work and discuss the opportunities that running applications in a YARN cluster can deliver.

Speaker: Steve Loughran, Member of Technical Staff, Hortonworks

Bio:

Steve Loughran, stevel@apache.org is a long-standing hadoop committer. Before joining hortonworks he worked at HP labs on problems such as distributed configuration management, declarative cloud infrastructures and virtualized hadoop. He is also the author of "Ant in Action", and somewhat obsessive about functional testing.

Session II (7:00 - 7:30 PM) – Apache Oozie HA

One of the big new features in Apache Oozie is an active-active high availability mode. In this talk, we'll give details on why we chose the active-active model, how Oozie HA works at both a high level and some specific detailed cases, difficulties we ran into, and what's left to be done

Speaker 1: Robert Kanter, Software Engineer, Cloudera

Bio:

Robert Kanter is a Software Engineer at Cloudera and an Apache Oozie PMC member. He has an MS in Computer Science from Stanford and a BS in Computer Science from USC.

Speaker 2: Ryota Egashira, Technical , Yahoo

Bio:

Ryota Egashira is a developer in the Hadoop team at Yahoo, and a committer on the Oozie Project.

Session III (7:30 - 8:00 PM) – Hive on Spark

Hive on Spark is a project to bring together the Hive and Spark communities and provide a better performing and more robust version of Hive. Cloudera, Intel, MapR, Databricks, and IBM are working together to bring the project to users. In this talk we'll discuss the technical details of the project, implementation challenges, thecurrent state of the project in addition to a demo.

Speaker: Szehon Ho, Software Engineer, Cloudera

Bio:

Szehon Ho is a software engineer in Cloudera and a Hive committer, based in Palo Alto. Prior to this, he was a principal software engineer in Informatica, gaining experience in enterprise software development and the field of data integration. He holds a BS in EECS from UC Berkeley.

Yahoo Campus Map:

Location Map (http://photos3.meetupstatic.com/photos/event/a/2/8/4/highres_21461604.jpeg)

Location on Wikimapia:

http://www.wikimapia.org/#lat=37.4181633&lon=-122.0250607&z=18&l=0&m=b&search=yahoo