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Monday, April 13 • 3:00pm - 3:50pm
Streaming-OODT: Combining Apache Spark's Power with Apache OODT - Michael Starch, NASA Jet Propulsion Laboratory

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Streaming-OODT was designed to overcome the limitations Apache OODT, which does not include cutting-edge data processing technologies and is limited in its ability to handle extremely large data sets.
As an extension to Apache OODT funded through the NASA Jet Propulsion Laboratory’s Big Data Research & Technology Development initiative “Archiving, Processing and Dissemination for the Big Data Era”, Streaming-OODT encapsulates state-of-the-art big data technologies within Apache OODT providing a prepackaged yet powerful data system.
Streaming-OODT enables OODT to use in-memory MapReduce processing provided by Apache Spark. Cluster management and multi-tenancy is provided via Apache Mesos. Apache Kafka and Spark Streaming enable the system to handle both streaming data types and streaming processing. All of which enable Apache OODT to handle next generation big data.

Speakers
MS

Michael Starch

Computer Engineer in Applications, NASA Jet Propulsion Laboratory
Michael Starch has been employed by the Jet Propulsion laboratory for the past 5 years. His primary responsibilities include: engineering big data processing systems for handling scientific data, researching the next generation of big data technologies, and helping infuse these systems into the mission world. He is a commiter and PMC on Apache OODT and has spoken about his work at the Southern California Linux Expo and ApacheCon North America.


Monday April 13, 2015 3:00pm - 3:50pm
Texas II

Attendees (22)