esri & marklogic: do more with your gis · 2018. 9. 29. · (and thus rarely can adapt to...
TRANSCRIPT
© COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
ESRI & MARKLOGIC: DO MORE WITH YOUR GIS Billy Sokol, CTO, Global Public Sector, MarkLogic Lyle Wright, Solutions Engineer, Esri
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© COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Systems Procurement is based on currently understood threats and challenges (and thus rarely can adapt to rapidly evolving threats)
This inevitably results in data silos
Different groups control these silos and they have different ideas about sharing information
People need to do more with GIS.
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A 2D Person Can’t See or Imagine a 3D universe It’s a flat existence
There’s X and Y, no Z
No before or after
And you can’t drink beer or anything
THE PROBLEM
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A 3d Person (Us) Doesn’t See 4D (Time) We see the elapse of time
It only goes one direction
At best, there’s one massive timeline
THE PROBLEM
TIME
ANALYSTS HAVE TO SEE BEYOND SPACE & TIME
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We Want to See How Things Are Connected
WHAT WE WANT EVENTS PEOPLE,
THINGS OUTCOMES
TIME
FROM A DATA PERSPECTIVE, THIS IS REALLY HARD
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What Makes It Hard? The data is in different shapes
The data is in different systems controlled by different organizations
It means different things to different people and different organizations
It is volatile – It may only be relevant for one investigation at one time – maybe even one question.
SO HOW DO YOU HELP YOUR ANALYSTS SEE BEYOND?
This problem comes up all the time for National Security, Law Enforcement,
and Industry
EXAMPLE 1: UNDERSTANDING THE SAN BERNARDINO SHOOTING
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SEMANTIC LINKS
Worked at Traveled to Messaged Married to Drove to
Pledged allegiance to Shot A former neighbor of Had planned
EXAMPLE #2 DC TAXI DRIVER / AL SHABAB
IC Database
FBI Database
TSA Database
Affiliated A part of
Travels to
Arrives from
Wanted by
Investigated by
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Clearly what’s needed is a way to put facts in geospatial, temporal, and semantic context
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Facts In Geospatial, Temporal, Semantic Context
WHAT’S NEEDED
CONTEXT
SEMANTICS TEMPORAL
GEOSPATIAL
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Facts In Geospatial, Temporal, Semantic Context More analysis, less finding/reshaping
Easy to do “what if”
Expressed as Entities or Objects, analysts can create, share, relate, and find the highest value data
WHAT’S NEEDED
CONTEXT
SEMANTICS TEMPORAL
GEOSPATIAL
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© COPYRIGHT 2016 MARKLOGIC CORPORATION. ALL RIGHTS RESERVED.
Facts In Geospatial, Temporal, Semantic Context More analysis, less finding/reshaping
Easy to do “what if”
Expressed as Entities or Objects, analysts can create, share, relate, and find the highest value data
WHAT’S NEEDED
CONTEXT
SEMANTICS TEMPORAL
GEOSPATIAL
But, there are a few problems…
IT Proliferation Data Silos Multiple Communities of Interest
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1st Challenge – IT Proliferation
ETL
UNSTRUCTURED DATA
ETL OLTP
ETL
ETL
ETL
ETL ETL
ARCHIVES DATA MARTS
REFERENCE DATA
WAREHOUSE
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2nd Challenge – Silos of Excellence
SOCIAL MEDIA ANALYTICS
STATISTICAL ANALYSIS
SEARCH
GIS
LINK ANALYSIS
ORGANIZATIONAL CLOUD / DATA LAYER
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MARITIME SECURITY EXAMPLE
Maritime Food Supply
Mass Migration
Contingency Operations
Trans-national Organized
Crime
Piracy Environmental Protection
Human Smuggling & Trafficking
Multi-National, Multi-Flag
Terrorism Safe Ports & Waterways
Nuclear Proliferation
3rd Challenge – Multiple Communities of Interest
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Esri / MarkLogic All Source Intelligence Focus
Seamless connection between GIS and Enterprise Data
ArcGIS Integration
Objects & Content, visualized
INTELLIGENCE OPERATIONS
&
GIS Industry Standard
ArcGIS empowers everyone with timely, accurate information and a means of collaboration
Integrating NoSQL Database into the ArcGIS Platform
ArcGIS Platform supports high value data in MarkLogic
brings geospatial context to
Configurable Applications available for data ingest and visualization
MarkLogic brings entities and objects that are typically difficult to place in geospatial context into ArcGIS
People
Organizations
Events
Esri + MarkLogic Business Value
DEMO
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Intelligence Operations – Esri / MarkLogic
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Enter ODH Extends value of legacy systems
Decouples modernization from the imperative to end-of-life systems
Stages all data for search, alerting, and exposes as RESTFUL Services for easy integration with analytical tools
OPERATIONAL APPLICATIONS
MULTI-CHANNEL DISTRIBUTION
BIDIRECTIONAL ANALYSIS OF ALL DATA
SSD, DAS, SAN, NAS, S3, Hadoop/HDFS
JSON
XML
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Operational Data Hub
ARREST / BOOKING / CASE
LINK ANALYSIS
CAD
SOCIAL MEDIA
INTELLIGENCE / SURVEILLANCE
HEADQUARTERS
OTHER AGENCIES
TASK FORCES
SWAT / ESU
LIM & DIGITAL FORENSICS
JAIL MANAGEMENT LE DATA LAYER
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Working with Entities and Objects
IMG VIDEO REPORT
FOR MORE INFORMATION…
IT’S TIME TO SEE BEYOND. CHEERS!