BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20190719T085743Z
LOCATION:HG D 1.2
DTSTART;TZID=Europe/Stockholm:20190612T133000
DTEND;TZID=Europe/Stockholm:20190612T140000
UID:submissions.pasc-conference.org_PASC19_sess158_msa284@linklings.com
SUMMARY:Turn Key Ephemeral Data Platforms: the Next Generation Data API
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Emerg
 ing Application Domains, Climate and Weather\n\nTurn Key Ephemeral Data Pl
 atforms: the Next Generation Data API\n\nRobinson, Killick, Tomlinson, Don
 kers, McCaie\n\nTens of terabytes of Met Office weather forecast data is c
 urrently being served every day via the AWS cloud. This low level data&nbs
 p;contains complex probabilistic information which spans multiple scales. 
 However, its volume and velocity make it increasingly hard for consum
 ers to get bespoke analyses (i.e. new value) from the data. Currently, thi
 s data is being made available through traditional RESTful APIs, where use
 rs can request subsets of these datasets before being sent them acros
 s the internet. Whilst this model serves well most of our traditional cons
 umers, it can be prohibitive to the new use cases which are necessary to j
 ustify the large up-front investment. Pangeo provides an opportunity to al
 low consumers to efficiently make use of these complex datasets. However, 
 this presents a challenge: how would a public sector body justify funding 
 a data processing platform which is designed to allow private enterprise t
 o make money from bespoke data products, effectively subsidising their bus
 iness? This talk describes work to allow Pangeo to be easily cloned and de
 ployed by non-experts, transferring the cost away from the tax-payer to th
 e business, effectively creating a new type of data API.
END:VEVENT
END:VCALENDAR