The rapid growth of Big Data (sensors, satellites, social networking) poses challenges to make the plethora of data more actionable intelligent: to process, monitor, manage, interpret and edit. As most information is tied to a location the geospatial information processing and management faces the same challenges regarding the trinity 'volume, velocity and variability'. Effectively the limits of traditional open spatial software components and tools have been reached. Thus necessitating cloud-based, distributed solutions.
In a relatively short time the Eclipse Working Group LocationTech has become the home for the much needed Big Geospatial Data innovation. Projects like GeoMesa, GeoWave, GeoTrellis, GeoGig and others enable temporal-spatial solutions for IoT, Automated Car, Earth Observation, Precision Agriculture, Disaster Management etc.
Please, check us out at www.locationtech.org or follow us on Twitter @locationtech
How To Troubleshoot Collaboration Apps for the Modern Connected Worker
FOSS4G 2017 Boston LocationTech; Big Data at the Heart of Geospatial Innovation
1. Big
Data
at
the
Heart
of
Geospa1al
Innova1on
(and
Loca1onTech)
Marc
Vloemans
Director
Ecosystems
Eclipse
Founda1on-‐Loca1onTech
FOSS4G
2016,
Boston
2. Eclipse
Founda1on
FOSS4G
2017
2
• One
of
the
top
open
source
founda1ons
• Organiza1onal
and
individual
members
• Collabora1ng
on
innova1ve
technology
• >330
open
source
projects
And
we
are
growing
towards
• ‘A
community
of
communi1es’
• Focus
on
industry
sectors
and
markets
• Industry
Working
Groups
3. Eclipse
Founda1on
and
Loca1onTech
• Eclipse
Industry
Working
Groups
(IWG)
• collaborate
and
innovate
on
the
crea1on
of
commercially
friendly
technology,
specifica1ons
and
best
prac1ces
for
a
specific
industry
or
market.
FOSS4G
2017
5. Loca1onTech
• Partner
of,
among
others
OGC,
OSGeo
(FOSS4GNA,
projects,
sponsoring)
• More
than
just
a
community
of
developers
• An
ecosystem
of
service
suppliers,
projects
and
end-‐
user
organiza1ons
• Collabora1ve
market
development
for
OS
geospa1al
• Commercially
friendly
temporal-‐spa1al
aware
soware
• Special
focus
on
Big
Geospa1al
Data
FOSS4G
2017
6. Focus
• Mission
• To
be
the
interna1onal
pla]orm
for
sustainable
technical
and
commercial
collabora1on
for
open
geospa1al
• Focus
• Commercial
and
technical
value
add
to
members
• Diversity
of
end-‐users
and
partnerships
• Big
Geospa1al
Data
tools
and
applica1ons
• Strategic
execu1on
• Recruit
projects
for
por]olio
gaps
(e.g.
3D,
Geocoder)
• Create
projects
in
house
(JTS2,
RPE)
• Increase
and
broaden
the
user-‐base
FOSS4G
2017
7. The
Loca1onTech
Working
Group
Steering
Commi,ee
Member
Par1cipa1ng
Member
Guest
(Academic)
Member
FOSS4G
2017
8. The
future
is
Big
Geospa1al
Data
• Sensors,
satellites
and
social
networking
• 20%
growth
rate
per
year
• The
80-‐20
rule
• The
geospa1al
component
• Ac1onable
intelligence
• monitor,
manage,
interpret,
edit
• The
limits
of
open
spa1al
components
and
tools
• Volume,
velocity,
variability
FOSS4G
2017
9. Loca1onTech
GeoMesa
FOSS4G
2017
• A
collec1on
of
libraries
and
modules
which
can
be
used
to
solve
Big
Geospa1al
Data
challenges.
• Management
of
billions
to
trillions
of
vector
data
• Well
suited
for
streaming
vector
data
• Spark
SQL
support
• Improved
support
for
HBase
and
Cassandra
backends
• New
Cloud
Storage
support
(S3,
Azure
Blobstore,
etc)
10. Loca1onTech
GeoWave
• A
soware
library
connec1ng
scalability
of
distributed
compu1ng
frameworks
and
key-‐value
stores
with
modern
geospa1al
soware
to
store,
retrieve
and
analyze
big
geospa1al
datasets.
• Scalabel
design
• Interac1ve
1me
and/or
loca1on
specific
queries
• Mul1-‐dimensional
indexing
to
ao.
Accumulo,
HBase,
BigTable
• GeoServer
plugin
to
share
and
visualize
geospa1al
data
in
a
GeoWave
datastore
via
OGC
standard
services
FOSS4G
2017
11. Loca1onTech
GeoTrellis
• A
framework
to
process
large
and
small
data
sets
with
low
latency
by
distribu1ng
the
computa1on
across
mul1ple
threads,
cores,
CPUs
and
machines.
• ability
to
rapidly
process
and
distribute
processing
of
raster
data
• data
import
and
conversion
tools
for
the
ARG
data
structure
• designed
to
help
create
simple,
standard
REST
services
FOSS4G
2017
12. Loca1onTech
GeoGig
• A
Distributed
Version
Control
System
specially
designed
to
handle
geospa1al
data
efficiently.
• inspira1on
from
the
source
code
versioning
system
Git
• import
raw
geospa1al
data
(currently
from
Shapefiles,
PostGIS,
MS
SQLServer,
or
Spa1aLite)
in
to
a
repository
• every
change
to
the
data
is
tracked
• versioning,
branched
into
sandboxed
areas,
merged
back
and
pushed
to
remote
repositories.
FOSS4G
2017