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AWS for
mega data
Cambridge AWS
Meetup, Stirling House, Waterbeach, UK
17/09/2015
@azolnai
www.zolnai.ca
AWS stack
• EC2 m1.small instance
• eu-west-1c zone
• one std. 20Gb volume
• launch-wizard1 security group
• Public elastic ip 54.194.60.93
• IOW stock instance
• Supercomputer for £20 / mo
• See demo
GeoCloud2 Stack
• www.mapcentia.com
• @mhoegh
• PostGreSQL, PostGIS, MapServer,
TileCache, GDAL, WFS-F, WMS,
Elasticsearch, Leaflet and
OpenLayers
• Superfast rendering
NOAA GSHHG data
• Global Self-consistent, Hierarchical, High-resolution Geography
Database
– Original data and my blogpost
Hi-res. coastline
1/4 million vectors
CLIWOC
• CLImatological Database for the World's OCeans
– Global sailings from captains ships logs
– EU project on maritime records 1750 - 1855
– 1/4M readings, 140 attributes each
• Original blogpost and more on this
– geohipster.com calendar – ship tracks only
• Wind direction + force data
– Doubled # points thru ES, FR, NL & UK lookups
– almost 1/2 M points... faster online than desktop!
Location only by nationality
Location only by timespan
Wind speed direction by timespan
Wind speed direction all timespans
Not just eye candy
• HC Darby: East Anglia geo-history
– UK Parishes constant framework
– added attributes from 1087 - 1877
• Current BGS geological WMS backdrop
• Harvard 1610 Cambridgeshire map overlay
• This lead to data validation loop w O|S
– 1SpatialOnline online validation
– Sent back to O|S for inclusion
– Errors dropped from 27 to 1 / 1900 vector polygons
BGS and Harvard Geospatial Library
Medieval to Industrial Revolution
Climate history takeaways
• Very rich dataset from 160 - 350
years ago
• Lots of data strung out along ship
tracks
• Navies had standards
• But issues w data recording and
capture
• Compare Old Weather NOAA
ICOADS, &c.
• Many visualizations
• Few share &/or re-use
• Foster online collaboration
• Further climate research
AWS takeaways
• Supercomputer @ your fingertips
– Costs under £1 / day
– Faster on line than on the desktop
– No maintenance hassles
• Q: Manage satellite
imagery?
A: Landsat8 AWS / Esri

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AWS for mega(geo)data

  • 1. AWS for mega data Cambridge AWS Meetup, Stirling House, Waterbeach, UK 17/09/2015 @azolnai www.zolnai.ca
  • 2. AWS stack • EC2 m1.small instance • eu-west-1c zone • one std. 20Gb volume • launch-wizard1 security group • Public elastic ip 54.194.60.93 • IOW stock instance • Supercomputer for £20 / mo • See demo
  • 3. GeoCloud2 Stack • www.mapcentia.com • @mhoegh • PostGreSQL, PostGIS, MapServer, TileCache, GDAL, WFS-F, WMS, Elasticsearch, Leaflet and OpenLayers • Superfast rendering
  • 4. NOAA GSHHG data • Global Self-consistent, Hierarchical, High-resolution Geography Database – Original data and my blogpost
  • 6. CLIWOC • CLImatological Database for the World's OCeans – Global sailings from captains ships logs – EU project on maritime records 1750 - 1855 – 1/4M readings, 140 attributes each • Original blogpost and more on this – geohipster.com calendar – ship tracks only • Wind direction + force data – Doubled # points thru ES, FR, NL & UK lookups – almost 1/2 M points... faster online than desktop!
  • 7. Location only by nationality
  • 8. Location only by timespan
  • 9. Wind speed direction by timespan
  • 10. Wind speed direction all timespans
  • 11. Not just eye candy • HC Darby: East Anglia geo-history – UK Parishes constant framework – added attributes from 1087 - 1877 • Current BGS geological WMS backdrop • Harvard 1610 Cambridgeshire map overlay • This lead to data validation loop w O|S – 1SpatialOnline online validation – Sent back to O|S for inclusion – Errors dropped from 27 to 1 / 1900 vector polygons
  • 12. BGS and Harvard Geospatial Library
  • 14. Climate history takeaways • Very rich dataset from 160 - 350 years ago • Lots of data strung out along ship tracks • Navies had standards • But issues w data recording and capture • Compare Old Weather NOAA ICOADS, &c. • Many visualizations • Few share &/or re-use • Foster online collaboration • Further climate research
  • 15. AWS takeaways • Supercomputer @ your fingertips – Costs under £1 / day – Faster on line than on the desktop – No maintenance hassles • Q: Manage satellite imagery? A: Landsat8 AWS / Esri