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Spark Job Server

Live Stream Link:

Doors @ 6:30pm, talk at 7:00
We will have a live stream of the Meetup and post a video to YouTube after. 

Ever wished Spark was a easy-to-use web service and could manage your Spark jobs?  Ooyala's open-source Spark Job Server offers a RESTful API for managing Spark jobs, jars, and contexts, turning Spark into an easy-to-use service, and offering a uniform API for all jobs. I will talk about the job server, its APIs, current and upcoming features in much greater detail. 

Learn how the Spark Job Server can turn Spark into a easy to use service for your organization. As a developer, learn how the job server can let you focus on the job algorithm instead of on nitty gritty infrastructure details.

Author Bio:

Evan leads the Compute and Data big data platform team at Ooyala and has led the design and implementation of multiple big data platforms based on Storm, Spark, Kafka, and Cassandra, including a columnar real-time distributed query engine. He co-created the Spark Job Server and leads open-source and blogging efforts at Ooyala. Before Ooyala, he helped create enterprise server OSes at VMware. He holds Bachelor's and Master's of Electrical Engineering from Stanford University. 

Kelvin is co-creator of Spark Job Server which is an open source RESTful server for submitting, running, and managing Spark jobs, jars and contexts. At Ooyala, he works on its big data infrastructure and builds real-time query engine for video analytics by Spark Job Server. Before joining Ooyala, Kelvin designed and implemented large scale machine learning on recruiting and job seekers data at Jobvite. Kelvin holds a Master's degree in Computer Science from the University of Maryland at College Park.

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