13
Geospatial Big Data Location Intelligence in Digital Transformation Mifan Careem Director, Solution Architecture WSO2

WSO2Con USA 2017: Geospatial Big Data – Location Intelligence in Digital Transformation

Embed Size (px)

Citation preview

Geospatial Big DataLocation Intelligence in Digital

Transformation

Mifan CareemDirector, Solution Architecture

WSO2

“As geospatial technology becomes more pervasive

across a multitude of applications, it is becoming

harder to quantify it as a discrete sector, as opposed

to part of the broader IT industry”Dr. Vanessa Lawrence, Director General, Ordnance Survey, “Investigation into spatial capability of Australia”

GEOGRAPHICAL INFORMATION SYSTEMS (GIS) - EVOLUTION

Paper Maps

ESRI (1969) Google Maps (2005)Google Earth (2001)

OSM (2006)Google Maps Mobile (2012)Google Traffic (2013)

Link: Simpsons @ Springfield

(SPATIAL) DATA IS HETEROGENEOUS AND PERVASIVE

Crowdsourced user data

Mobile Data

Sensor Data

Big DataSpatial Data

High Velocity Vector Data Streams

Imagery Data Sources

Dashboards

APIs

Analytics

Situational Awareness Alerting

Video: Simpsons on GoogleMaps

Five GIS Trends Changing the WorldJack Dangermond, President, ESRI – 2017

• Location as a Service

• Advanced Analytics

• Big Data Analytics

• Real Time GIS

• Mobility

http://geoawesomeness.com/five-gis-trends-changing-world-according-jack-dangermond-president-esri/

http://www.gartner.com/smarterwithgartner/top-ten-technology-trends-signal-the-digital-mesh/

More Facts…

• 25 Billion+ connected devices by 2025

• IoT and Digital Industries will produce a large amount of location data

• Spatial Dimension adds value to Predictive Analytics

• Open data and collaborative spatial data sources continue to increase

• Location will be a part of everything!

• Stream Processing can use

a location attribute to

spatially analyze and

process data, real time, in

memory

• WSO2’s Stream Processor

(Complex Event Processor)

has GeoTools integration

• E.g operations

– Within

– Clustering

REAL TIME SPATIAL STREAM PROCESSING

Video: WSO2 CEP with TFL Data

• Nearly all IoT devices

have a location attribute

that can be utilized to

provide more optimal

solutions

– Fleet management

• WSO2 IoT Server

provides spatial analysis

via WSO2 Analytics

OPTIMIZE IOT AND SENSOR DATA PROCESSING

WHICH LEADS TO UBIQUITOUS DATA STREAMS• Consumer driven

applications that are

ubiquitous

– Uber

– Google Maps

– Google Now

– Google Traffic, Waze

API MANAGEMENT ENABLES PARTICIPATORY BUSINESS• The GIS world has had

standards based services for

some time now

– OGC WMS, WFS, WCS

• Coupling this with API

Management provides

powerful API capabilities

• Encourage participatory

business models

• Ordnance Survey in UK

exposes national map data as

standard APIs

• Video – Open Street Maps

participatory contribution

Link: OS API Store

INTEGRATION ACROSS MULTIPLE HETEROGENEOUS SOURCES• Integration across multiple

systems serving different

formats enable a global

unified view across the board

• Case study: Rolta uses WSO2

ESB (Integration) to connect

disparate sources providing

solutions for Govt. Agencies

• Case study: TFL’s London

Works combines multiple

systems to provide a unified

view of Utility Management

for London

TECHNOLOGY FOR DIGITAL TRANSFORMATION

Build internal and external developer ecosystems with an API marketplace.

Platform enable your digital business with microservices and micro integrations.

Manage identity, security, and privacy across your digital business.

Create real-time, intelligent, actionable business insights and data products.

Make mobile and IoTdevices integral to your digital business.

DIGITALLY TRANSFORM AND INNOVATE INDUSTRIES

Banking

Insurance

Retail

Finance

Supply Chain

Utilities

Federal, State, Local

Search and Rescue

Public Works

Intelligence

Agriculture

Farming

Land Management

Irrigation

Climate Change

Forestry

Fire and Safety

Emergency Mgt.

Law Enforcement

Homeland Security

Video: OSM Data edits in HOSM

Thank You!

I believe we need a "Digital Earth". A multi-resolution, three-dimensional representation of the planet, into which we can embed vast quantities of geo-referenced data. Al Gore, “Digital Earth – Understanding our planet in the 21st Century”, California, 1998