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Unlocking Interplanetary Datasets with Real-Time Search

Unlocking Interplanetary Datasets with Real-Time Search

This talk was presented at the inaugural Elastic{ON} conference, http://elasticon.com

Session Abstract:
Hear how the Jet Propulsion Laboratory is using Elasticsearch to power flight telemetry and system dashboards from the Curiosity Mars rover and SMAP, as well as its internal search engine including a powerful video and people search.

Elastic Co

March 11, 2015
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Transcript

  1. { } 30 Ricky Ma Chief of Application Architecture Dan

    Isla Systems Engineer and Data Scientist Who We Are
  2. { } 36 Spacecraft (some of the many…) 1st US

    Satellite 89 - Study Jupiter and its moons 77 - Most distant human-made object
  3. 39

  4. 41

  5. Improved Min/Max Stats metric loses exact time of min and

    max value. Top Hits nested aggregation, using _source to extract time.
  6. { } 53 Improved Min/Max Stats metric loses exact time

    of min and max value. Top Hits nested aggregation, using _source to extract time.
  7. { } 57 Earth Science Earth Science: SMAP • 30x

    more telemetry than Mars mission. • 80 million telemetry points per day. • 3.8 billion docs generated during test and launch campaign. • 6 node i2.xlarge cluster, 1.5+ TB ingested. • Sub-second query time
  8. • Mesos to orchestrate multi cluster deployments of Elasticsearch •

    Docker containers for Elasticsearch Nodes • Hybrid Cloud infrastructure with AWS GovCloud and Nebula private cloud. Deployment