From producers to consumers: democratizing the access to reference data

Jorge Sanz
Jorge SanzCustomer Support Manager and Solutions Engineer at CARTO
JORGE SANZ · SOLUTIONS ENGINEER
EUROSDR // INSTITUTO GEOGRÁFICO NACIONAL // OCTOBER 2016
FROM PRODUCERS TO
CONSUMERS: DEMOCRATIZING
THE ACCESS TO REFERENCE
DATA
By 2020, approximately 25 billion devices will be permanently
connected through the internet, all of which will generate location data.
SOURCE: GARTNER
EVERYTHING HAPPENS SOMEWHERE
We are democratizing location intelligence,
enabling geospatial analysis like a data
scientist without having to be a data scientist.
With CARTO everybody can analyze,
visualize and extract valuable insights
on location data.
THIS IS OUR MISSION
LOCATION IS THE NEW
CHAMPION IN ANALYTICS
DIGITAL TRANSFORMATION & MOBILITY
DEMAND LOCATION AWARENESS
NYC RENT STABILIZATION MAP
● Massive sensorization due to IoT
● Data storage is more accessible than ever
● Empowerment of data scientists & business
professionals
SOLUTION PORTFOLIO
● Traditional GIS is disconnected
● Trend of consumerized apps in Enterprise
● Niche solutions are too narrow
ANALYTICS
LOCATION
CONTEXT
DISCOVERY
GEOSPATIAL CAPABILITIES ARE BEING
INTEGRATED INTO ALL KINDS OF
SYSTEMS & TOOLS
* Source: IDC report, Marketmakers report
NEW MARKET
CREATION
INDUSTRIES DATA ANALYTICS $16 BILLION*
GLI
6.6 BILLION*
GIS $2.5 BILLION*
LOCATION BASED SERVICES $7.5 BILLION*
“BY 2018, 50% OF ORGANIZATIONS WILL MAKE USE OF
GLI CAPABILITIES IN THEIR ANALYTIC USE CASES”
THOMAS W. OESTREICH, GARTNER
WHAT DOES
CARTO DO?
CARTO’s location intelligence
platform helps organizations use
and understand the impact and
value of place on operational
performance, strategic investments,
and everyday decisions.
STORE LOCATION ANALYSIS
BUILDER
A web-based drag and drop analysis tool
for business users and analysts to
discover and predict key insights from
location data.
CARTO Builder unleashes the power of
location intelligence with self-service,
actionable dashboards you can share
across your whole organization.
LOCATION INTELLIGENCE
FINALLY INTUITIVE
ENGINE
A one-stop shop of geospatial tools, services, and
APIs for the rapid development of easy-to-use
location applications, CARTO Engine empowers
your organization with scalable analysis and
enrichment solutions you can fully embed in your
web & mobile apps.
● APIs
● SDKs
● Location Data Services
● High Performance Analysis
THE MASSIVE POWER BEHIND
LOCATION INTELLIGENCE
WORLDWIDE ACCESS
1,600+ CUSTOMERS, 250,000 END-USERS | $30M FUNDING TO DATE | 100+ TEAM MEMBERS
PIONEERS IN LOCATION INTELLIGENCE
From producers to consumers: democratizing the access to reference data
By 2020, approximately 25 billion devices will be permanently
connected through the internet, all of which will generate location data.
SOURCE: GARTNER
EVERYTHING HAPPENS SOMEWHERE
DATA
OBSERVATORY
Data augmentation services and seamless
access to borders, demographics,
segmentation and high value location data
layers.
The world's most trusted sources of
information to pair with your private
location data or incorporate into your
analysis workflows.
ETL
Extract, Transform,
Load
METADATA
Well-formed
descriptions of columns
and tables
DATA OBSERVATORY
Well-formed and
named tables on
CARTO
CATALOG
Searchable list of data
we provide
DATA ON
THE WEB
Census products
Labor statistics
Mapzen
Open data portals
...
Keep it availableFix it up
Document it nicely
BOUNDARIES
● Global: Continents, Regions,
Countries, Disputed and
marine areas
● Spain: Census Tract,
Municipality, Province, Region
● UK: Census output areas
● USA: States, Counties,
Incorporated places, Secondary
School Districts,...
● ...
CREATE TABLE my_munis AS
SELECT *
FROM OBS_GetBoundariesByGeometry(
ST_MakeEnvelope(
-2.224731,38.515937,
0.343323,40.229218,
4326),
'es.cnig.muni'
);
CARTO APIS
BOUNDARIES:
SQL API
CARTO APIS
BOUNDARIES:
SQL API
GEOSPATIAL DATA
READY TO USE
CARTO APIS
MEASUREMENTS
1. DETAILS ABOUT LOCAL POPULATION,
MARKETS, INDUSTRIES, AND OTHER
DIMENSIONS
2. SEARCHABLE THROUGH DISCOVERY
FUNCTIONS AND THE CATALOG
3. QUERY BY
• Point: density value like population per km2
• Polygon: aggregated value like number of widowed persons
ALTER TABLE my_munis
ADD COLUMN
dwellings_rented integer;
UPDATE my_munis
SET dwellings_rented =
OBS_GetMeasure(
the_geom,
'es.ine.t18_4'
);
CARTO APIS
MEASUREMENTS
We are democratizing location intelligence,
enabling geospatial analysis like a data
scientist without having to be a data
scientist.
With CARTO everybody can analyze, visualize
and extract valuable insights on location
data.
THIS IS OUR MISSION
BUILDER: FRIENDLY INTERFACE
DEMO TIME
From producers to consumers: democratizing the access to reference data
From producers to consumers: democratizing the access to reference data
RESOURCES
● https://carto.com/data-observatory/
● https://carto.com/docs/carto-engine/data/
● https://github.com/CartoDB/bigmetadata
● https://bit.ly/161013-lds
THANKS! GET IN TOUCH
JORGE@CARTO.COM
http://bit.ly/161019-data-observatory
EUROSDR // INSTITUTO GEOGRÁFICO NACIONAL // OCTOBER 2016
From producers to consumers: democratizing the access to reference data
1 of 26

Recommended

Location Intelligence for Everyone by
Location Intelligence for EveryoneLocation Intelligence for Everyone
Location Intelligence for EveryoneJorge Sanz
691 views20 slides
Location Intelligence & Data Visualization by
Location Intelligence & Data VisualizationLocation Intelligence & Data Visualization
Location Intelligence & Data VisualizationJorge Sanz
1.2K views29 slides
CARTO BUILDER: from visualization to geospatial analysis by
CARTO BUILDER: from visualization to geospatial analysisCARTO BUILDER: from visualization to geospatial analysis
CARTO BUILDER: from visualization to geospatial analysisJorge Sanz
752 views29 slides
CARTO ENGINE by
CARTO ENGINECARTO ENGINE
CARTO ENGINEJorge Sanz
2.3K views47 slides
The future of GIS as we know it by
The future of GIS as we know itThe future of GIS as we know it
The future of GIS as we know itJan Willem van Eck
2.6K views39 slides
Scaling Spatial Analytics with Google Cloud & CARTO by
Scaling Spatial Analytics with Google Cloud & CARTOScaling Spatial Analytics with Google Cloud & CARTO
Scaling Spatial Analytics with Google Cloud & CARTOCARTO
191 views43 slides

More Related Content

What's hot

ArcGIS: A Platform for Intelligent 3D Imagery by
ArcGIS: A Platform for Intelligent 3D ImageryArcGIS: A Platform for Intelligent 3D Imagery
ArcGIS: A Platform for Intelligent 3D ImageryEsri
631 views4 slides
Asset management with gis by
Asset management with gisAsset management with gis
Asset management with gisIIC Technologies
601 views20 slides
CARTO 2017 by
CARTO 2017CARTO 2017
CARTO 2017Jorge Sanz
591 views25 slides
( G . i . s ) by
( G . i . s )( G . i . s )
( G . i . s )Himanshu Chakravarti
112 views16 slides
Future of GIS, Moving to the Enterprise Platform by
Future of GIS, Moving to the Enterprise PlatformFuture of GIS, Moving to the Enterprise Platform
Future of GIS, Moving to the Enterprise PlatformSSP Innovations
2.5K views38 slides
Gis for asset management by
Gis for asset managementGis for asset management
Gis for asset managementIIC Technologies
611 views20 slides

What's hot(20)

ArcGIS: A Platform for Intelligent 3D Imagery by Esri
ArcGIS: A Platform for Intelligent 3D ImageryArcGIS: A Platform for Intelligent 3D Imagery
ArcGIS: A Platform for Intelligent 3D Imagery
Esri631 views
Future of GIS, Moving to the Enterprise Platform by SSP Innovations
Future of GIS, Moving to the Enterprise PlatformFuture of GIS, Moving to the Enterprise Platform
Future of GIS, Moving to the Enterprise Platform
SSP Innovations2.5K views
ArcGIS: Better Aeronautical Data Management by Esri
ArcGIS: Better Aeronautical Data ManagementArcGIS: Better Aeronautical Data Management
ArcGIS: Better Aeronautical Data Management
Esri609 views
Esri CityEngine by Esri
Esri CityEngineEsri CityEngine
Esri CityEngine
Esri1.5K views
Novedades de Utility Network by Esri España
Novedades de Utility NetworkNovedades de Utility Network
Novedades de Utility Network
Esri España58 views
ArcGIS by Esri
ArcGISArcGIS
ArcGIS
Esri694 views
Esri Maps for MicroStrategy by Esri
Esri Maps for MicroStrategyEsri Maps for MicroStrategy
Esri Maps for MicroStrategy
Esri594 views
Esri Technology for National Intelligence by Esri
Esri Technology for National IntelligenceEsri Technology for National Intelligence
Esri Technology for National Intelligence
Esri849 views
Zubed Geospatial by smaynard
Zubed GeospatialZubed Geospatial
Zubed Geospatial
smaynard321 views
Habidatum Intro by Habidatum
Habidatum IntroHabidatum Intro
Habidatum Intro
Habidatum 2.6K views
Geographic Information Systems PowerPoint Summer 2014 Semester by Nicholas Tancredi
Geographic Information Systems PowerPoint Summer 2014 SemesterGeographic Information Systems PowerPoint Summer 2014 Semester
Geographic Information Systems PowerPoint Summer 2014 Semester
Nicholas Tancredi586 views
Market analysis through Consumer Behavior Pattern Insights by CARTO
Market analysis through Consumer Behavior Pattern InsightsMarket analysis through Consumer Behavior Pattern Insights
Market analysis through Consumer Behavior Pattern Insights
CARTO334 views

Viewers also liked

Borealis Salon Ad by
Borealis Salon AdBorealis Salon Ad
Borealis Salon AdCarrieM13
210 views1 slide
La ComunicacióN by
La ComunicacióNLa ComunicacióN
La ComunicacióNguestbec29a1
312 views6 slides
Mapablogs by
MapablogsMapablogs
MapablogsJosé Carcelén Moreno
472 views1 slide
CleverCity - Location Intelligence for Smart Cities by
CleverCity - Location Intelligence for Smart Cities CleverCity - Location Intelligence for Smart Cities
CleverCity - Location Intelligence for Smart Cities CleverMaps
2.7K views19 slides
Samm owasp by
Samm owaspSamm owasp
Samm owaspSoftware Guru
2.4K views29 slides
Evaluacion de arquitecturas by
Evaluacion de arquitecturasEvaluacion de arquitecturas
Evaluacion de arquitecturasSamis Ambrocio
4.9K views42 slides

Viewers also liked(11)

Borealis Salon Ad by CarrieM13
Borealis Salon AdBorealis Salon Ad
Borealis Salon Ad
CarrieM13210 views
CleverCity - Location Intelligence for Smart Cities by CleverMaps
CleverCity - Location Intelligence for Smart Cities CleverCity - Location Intelligence for Smart Cities
CleverCity - Location Intelligence for Smart Cities
CleverMaps2.7K views
Evaluacion de arquitecturas by Samis Ambrocio
Evaluacion de arquitecturasEvaluacion de arquitecturas
Evaluacion de arquitecturas
Samis Ambrocio4.9K views
Tecnologías de información maestría by Maestros Online
Tecnologías de información maestríaTecnologías de información maestría
Tecnologías de información maestría
Maestros Online6.9K views
ACD Riesgos TIC: Sistemas Seguros para Compras Online by AndaluciaCD
ACD Riesgos TIC: Sistemas Seguros para Compras OnlineACD Riesgos TIC: Sistemas Seguros para Compras Online
ACD Riesgos TIC: Sistemas Seguros para Compras Online
AndaluciaCD621 views
Ejemplo de un Proyecto CRM by Jose Martinez
Ejemplo de un Proyecto CRMEjemplo de un Proyecto CRM
Ejemplo de un Proyecto CRM
Jose Martinez86.7K views

Similar to From producers to consumers: democratizing the access to reference data

Encuentro Aporta 2016 - Mesa 2 - Miguel Arias by
Encuentro Aporta 2016 - Mesa 2 - Miguel AriasEncuentro Aporta 2016 - Mesa 2 - Miguel Arias
Encuentro Aporta 2016 - Mesa 2 - Miguel AriasDatos.gob.es
345 views19 slides
Insights success the 10 fastest growing gis solution providers 18th dec 2017 by
Insights success the 10 fastest growing gis solution providers 18th dec 2017Insights success the 10 fastest growing gis solution providers 18th dec 2017
Insights success the 10 fastest growing gis solution providers 18th dec 2017Insights success media and technology pvt ltd
192 views48 slides
StarHub: The Value of Telco Big Data by
StarHub: The Value of Telco Big Data  StarHub: The Value of Telco Big Data
StarHub: The Value of Telco Big Data Radhika Dhawan Puri
179 views13 slides
React’s suitability to develop Geospatial solutions.pdf by
React’s suitability to develop Geospatial solutions.pdfReact’s suitability to develop Geospatial solutions.pdf
React’s suitability to develop Geospatial solutions.pdfMindfire LLC
8 views11 slides
Spatial Computing and the Future of Utility GIS by
Spatial Computing and the Future of Utility GISSpatial Computing and the Future of Utility GIS
Spatial Computing and the Future of Utility GISGeorge Percivall
157 views26 slides
CampusSDN2017 - Jawdat: SDN Market and Opportunities by
CampusSDN2017 - Jawdat: SDN Market and OpportunitiesCampusSDN2017 - Jawdat: SDN Market and Opportunities
CampusSDN2017 - Jawdat: SDN Market and OpportunitiesJawdatTI
269 views33 slides

Similar to From producers to consumers: democratizing the access to reference data(20)

Encuentro Aporta 2016 - Mesa 2 - Miguel Arias by Datos.gob.es
Encuentro Aporta 2016 - Mesa 2 - Miguel AriasEncuentro Aporta 2016 - Mesa 2 - Miguel Arias
Encuentro Aporta 2016 - Mesa 2 - Miguel Arias
Datos.gob.es345 views
React’s suitability to develop Geospatial solutions.pdf by Mindfire LLC
React’s suitability to develop Geospatial solutions.pdfReact’s suitability to develop Geospatial solutions.pdf
React’s suitability to develop Geospatial solutions.pdf
Mindfire LLC8 views
Spatial Computing and the Future of Utility GIS by George Percivall
Spatial Computing and the Future of Utility GISSpatial Computing and the Future of Utility GIS
Spatial Computing and the Future of Utility GIS
George Percivall157 views
CampusSDN2017 - Jawdat: SDN Market and Opportunities by JawdatTI
CampusSDN2017 - Jawdat: SDN Market and OpportunitiesCampusSDN2017 - Jawdat: SDN Market and Opportunities
CampusSDN2017 - Jawdat: SDN Market and Opportunities
JawdatTI269 views
4 Ways Telecoms are Using GIS & Location Intelligence.pdf by CARTO
4 Ways Telecoms are Using GIS & Location Intelligence.pdf4 Ways Telecoms are Using GIS & Location Intelligence.pdf
4 Ways Telecoms are Using GIS & Location Intelligence.pdf
CARTO184 views
Mircod Short Deck by Mircod
Mircod Short DeckMircod Short Deck
Mircod Short Deck
Mircod112 views
IMGS Geospatial User Group 2014: Hexagon Geospatial Vision, Mission and Strategy by IMGS
IMGS Geospatial User Group 2014: Hexagon Geospatial Vision, Mission and StrategyIMGS Geospatial User Group 2014: Hexagon Geospatial Vision, Mission and Strategy
IMGS Geospatial User Group 2014: Hexagon Geospatial Vision, Mission and Strategy
IMGS1.3K views
Applying Spatial Analysis to Real Estate Decision-Making by CARTO
Applying Spatial Analysis to Real Estate Decision-MakingApplying Spatial Analysis to Real Estate Decision-Making
Applying Spatial Analysis to Real Estate Decision-Making
CARTO417 views
React’s suitability to develop Geospatial solutions.pdf by Mindfire LLC
React’s suitability to develop Geospatial solutions.pdfReact’s suitability to develop Geospatial solutions.pdf
React’s suitability to develop Geospatial solutions.pdf
Mindfire LLC5 views
2018 GIS in the Rockies Vendor Showcase (Th): Solving Real World Issues With ... by GIS in the Rockies
2018 GIS in the Rockies Vendor Showcase (Th): Solving Real World Issues With ...2018 GIS in the Rockies Vendor Showcase (Th): Solving Real World Issues With ...
2018 GIS in the Rockies Vendor Showcase (Th): Solving Real World Issues With ...
GIS in the Rockies115 views
Challenges on geo spatial visual analytics eurographics by Raffaele de Amicis
Challenges on geo spatial visual analytics eurographicsChallenges on geo spatial visual analytics eurographics
Challenges on geo spatial visual analytics eurographics
Changing the business of location in a connected and mobile world by Amazon Web Services
Changing the business of location in a connected and mobile worldChanging the business of location in a connected and mobile world
Changing the business of location in a connected and mobile world
Bang 2020 gi-p_stech by IIBA-IT
Bang 2020 gi-p_stechBang 2020 gi-p_stech
Bang 2020 gi-p_stech
IIBA-IT46 views
Hexagon tech job oct 2018 by TechMeetups
Hexagon tech job oct 2018Hexagon tech job oct 2018
Hexagon tech job oct 2018
TechMeetups62 views
The Best Performing GIS Companies To Follow In 2023.pdf by CIOLOOKIndia
The Best Performing GIS Companies To Follow In 2023.pdfThe Best Performing GIS Companies To Follow In 2023.pdf
The Best Performing GIS Companies To Follow In 2023.pdf
CIOLOOKIndia4 views

More from Jorge Sanz

Trabajo en remoto, o cómo pasar el día entero en pijama by
Trabajo en remoto, o cómo pasar el día entero en pijamaTrabajo en remoto, o cómo pasar el día entero en pijama
Trabajo en remoto, o cómo pasar el día entero en pijamaJorge Sanz
367 views51 slides
Location Intellligence para administraciones públicas by
Location Intellligence para administraciones públicasLocation Intellligence para administraciones públicas
Location Intellligence para administraciones públicasJorge Sanz
406 views26 slides
Más aplicaciones y menos geoportales by
Más aplicaciones y menos geoportalesMás aplicaciones y menos geoportales
Más aplicaciones y menos geoportalesJorge Sanz
585 views28 slides
A series of unfortunate maps, and how to fix them by
A series of unfortunate maps, and how to fix themA series of unfortunate maps, and how to fix them
A series of unfortunate maps, and how to fix themJorge Sanz
401 views31 slides
Democratizando la publicación de datos geográficos by
Democratizando la publicación de datos geográficosDemocratizando la publicación de datos geográficos
Democratizando la publicación de datos geográficosJorge Sanz
521 views32 slides
CartoDB Inside Out by
CartoDB Inside OutCartoDB Inside Out
CartoDB Inside OutJorge Sanz
2.6K views32 slides

More from Jorge Sanz(20)

Trabajo en remoto, o cómo pasar el día entero en pijama by Jorge Sanz
Trabajo en remoto, o cómo pasar el día entero en pijamaTrabajo en remoto, o cómo pasar el día entero en pijama
Trabajo en remoto, o cómo pasar el día entero en pijama
Jorge Sanz367 views
Location Intellligence para administraciones públicas by Jorge Sanz
Location Intellligence para administraciones públicasLocation Intellligence para administraciones públicas
Location Intellligence para administraciones públicas
Jorge Sanz406 views
Más aplicaciones y menos geoportales by Jorge Sanz
Más aplicaciones y menos geoportalesMás aplicaciones y menos geoportales
Más aplicaciones y menos geoportales
Jorge Sanz585 views
A series of unfortunate maps, and how to fix them by Jorge Sanz
A series of unfortunate maps, and how to fix themA series of unfortunate maps, and how to fix them
A series of unfortunate maps, and how to fix them
Jorge Sanz401 views
Democratizando la publicación de datos geográficos by Jorge Sanz
Democratizando la publicación de datos geográficosDemocratizando la publicación de datos geográficos
Democratizando la publicación de datos geográficos
Jorge Sanz521 views
CartoDB Inside Out by Jorge Sanz
CartoDB Inside OutCartoDB Inside Out
CartoDB Inside Out
Jorge Sanz2.6K views
Open your data with CartoDB by Jorge Sanz
Open your data with CartoDBOpen your data with CartoDB
Open your data with CartoDB
Jorge Sanz1.1K views
De Casa al Cole by Jorge Sanz
De Casa al ColeDe Casa al Cole
De Casa al Cole
Jorge Sanz1.2K views
Perspectivas profesionales en geomática 2014 by Jorge Sanz
Perspectivas profesionales en geomática 2014Perspectivas profesionales en geomática 2014
Perspectivas profesionales en geomática 2014
Jorge Sanz1.4K views
SeaCare Application by Jorge Sanz
SeaCare ApplicationSeaCare Application
SeaCare Application
Jorge Sanz1.4K views
Panorama SIG Libre 2014 by Jorge Sanz
Panorama SIG Libre 2014Panorama SIG Libre 2014
Panorama SIG Libre 2014
Jorge Sanz1.1K views
STIMULO: sistema de transporte logístico inteligente multimodal by Jorge Sanz
STIMULO:  sistema de transporte logístico inteligente multimodalSTIMULO:  sistema de transporte logístico inteligente multimodal
STIMULO: sistema de transporte logístico inteligente multimodal
Jorge Sanz905 views
Cartografiando en filipinas para OSM by Jorge Sanz
Cartografiando en filipinas para OSMCartografiando en filipinas para OSM
Cartografiando en filipinas para OSM
Jorge Sanz575 views
From CAD to DB by Jorge Sanz
From CAD to DBFrom CAD to DB
From CAD to DB
Jorge Sanz617 views
OSGeo-es y Geoinquietos by Jorge Sanz
OSGeo-es y GeoinquietosOSGeo-es y Geoinquietos
OSGeo-es y Geoinquietos
Jorge Sanz939 views
Implantación de un servidor SOS en la IDE OTALEX C by Jorge Sanz
Implantación de un servidor SOS en la IDE OTALEX CImplantación de un servidor SOS en la IDE OTALEX C
Implantación de un servidor SOS en la IDE OTALEX C
Jorge Sanz1.2K views
How to collaborate with the gvSIG project by Jorge Sanz
How to collaborate with the gvSIG projectHow to collaborate with the gvSIG project
How to collaborate with the gvSIG project
Jorge Sanz463 views
gvSIG Desktop raster by Jorge Sanz
gvSIG Desktop rastergvSIG Desktop raster
gvSIG Desktop raster
Jorge Sanz535 views

Recently uploaded

The Role of Patterns in the Era of Large Language Models by
The Role of Patterns in the Era of Large Language ModelsThe Role of Patterns in the Era of Large Language Models
The Role of Patterns in the Era of Large Language ModelsYunyao Li
85 views65 slides
NTGapps NTG LowCode Platform by
NTGapps NTG LowCode Platform NTGapps NTG LowCode Platform
NTGapps NTG LowCode Platform Mustafa Kuğu
423 views30 slides
Business Analyst Series 2023 - Week 4 Session 7 by
Business Analyst Series 2023 -  Week 4 Session 7Business Analyst Series 2023 -  Week 4 Session 7
Business Analyst Series 2023 - Week 4 Session 7DianaGray10
139 views31 slides
Cencora Executive Symposium by
Cencora Executive SymposiumCencora Executive Symposium
Cencora Executive Symposiummarketingcommunicati21
159 views14 slides
Transitioning from VMware vCloud to Apache CloudStack: A Path to Profitabilit... by
Transitioning from VMware vCloud to Apache CloudStack: A Path to Profitabilit...Transitioning from VMware vCloud to Apache CloudStack: A Path to Profitabilit...
Transitioning from VMware vCloud to Apache CloudStack: A Path to Profitabilit...ShapeBlue
159 views25 slides
Declarative Kubernetes Cluster Deployment with Cloudstack and Cluster API - O... by
Declarative Kubernetes Cluster Deployment with Cloudstack and Cluster API - O...Declarative Kubernetes Cluster Deployment with Cloudstack and Cluster API - O...
Declarative Kubernetes Cluster Deployment with Cloudstack and Cluster API - O...ShapeBlue
132 views13 slides

Recently uploaded(20)

The Role of Patterns in the Era of Large Language Models by Yunyao Li
The Role of Patterns in the Era of Large Language ModelsThe Role of Patterns in the Era of Large Language Models
The Role of Patterns in the Era of Large Language Models
Yunyao Li85 views
NTGapps NTG LowCode Platform by Mustafa Kuğu
NTGapps NTG LowCode Platform NTGapps NTG LowCode Platform
NTGapps NTG LowCode Platform
Mustafa Kuğu423 views
Business Analyst Series 2023 - Week 4 Session 7 by DianaGray10
Business Analyst Series 2023 -  Week 4 Session 7Business Analyst Series 2023 -  Week 4 Session 7
Business Analyst Series 2023 - Week 4 Session 7
DianaGray10139 views
Transitioning from VMware vCloud to Apache CloudStack: A Path to Profitabilit... by ShapeBlue
Transitioning from VMware vCloud to Apache CloudStack: A Path to Profitabilit...Transitioning from VMware vCloud to Apache CloudStack: A Path to Profitabilit...
Transitioning from VMware vCloud to Apache CloudStack: A Path to Profitabilit...
ShapeBlue159 views
Declarative Kubernetes Cluster Deployment with Cloudstack and Cluster API - O... by ShapeBlue
Declarative Kubernetes Cluster Deployment with Cloudstack and Cluster API - O...Declarative Kubernetes Cluster Deployment with Cloudstack and Cluster API - O...
Declarative Kubernetes Cluster Deployment with Cloudstack and Cluster API - O...
ShapeBlue132 views
Developments to CloudStack’s SDN ecosystem: Integration with VMWare NSX 4 - P... by ShapeBlue
Developments to CloudStack’s SDN ecosystem: Integration with VMWare NSX 4 - P...Developments to CloudStack’s SDN ecosystem: Integration with VMWare NSX 4 - P...
Developments to CloudStack’s SDN ecosystem: Integration with VMWare NSX 4 - P...
ShapeBlue194 views
KVM Security Groups Under the Hood - Wido den Hollander - Your.Online by ShapeBlue
KVM Security Groups Under the Hood - Wido den Hollander - Your.OnlineKVM Security Groups Under the Hood - Wido den Hollander - Your.Online
KVM Security Groups Under the Hood - Wido den Hollander - Your.Online
ShapeBlue221 views
Keynote Talk: Open Source is Not Dead - Charles Schulz - Vates by ShapeBlue
Keynote Talk: Open Source is Not Dead - Charles Schulz - VatesKeynote Talk: Open Source is Not Dead - Charles Schulz - Vates
Keynote Talk: Open Source is Not Dead - Charles Schulz - Vates
ShapeBlue252 views
What’s New in CloudStack 4.19 - Abhishek Kumar - ShapeBlue by ShapeBlue
What’s New in CloudStack 4.19 - Abhishek Kumar - ShapeBlueWhat’s New in CloudStack 4.19 - Abhishek Kumar - ShapeBlue
What’s New in CloudStack 4.19 - Abhishek Kumar - ShapeBlue
ShapeBlue263 views
Updates on the LINSTOR Driver for CloudStack - Rene Peinthor - LINBIT by ShapeBlue
Updates on the LINSTOR Driver for CloudStack - Rene Peinthor - LINBITUpdates on the LINSTOR Driver for CloudStack - Rene Peinthor - LINBIT
Updates on the LINSTOR Driver for CloudStack - Rene Peinthor - LINBIT
ShapeBlue206 views
TrustArc Webinar - Managing Online Tracking Technology Vendors_ A Checklist f... by TrustArc
TrustArc Webinar - Managing Online Tracking Technology Vendors_ A Checklist f...TrustArc Webinar - Managing Online Tracking Technology Vendors_ A Checklist f...
TrustArc Webinar - Managing Online Tracking Technology Vendors_ A Checklist f...
TrustArc170 views
CloudStack Object Storage - An Introduction - Vladimir Petrov - ShapeBlue by ShapeBlue
CloudStack Object Storage - An Introduction - Vladimir Petrov - ShapeBlueCloudStack Object Storage - An Introduction - Vladimir Petrov - ShapeBlue
CloudStack Object Storage - An Introduction - Vladimir Petrov - ShapeBlue
ShapeBlue138 views
State of the Union - Rohit Yadav - Apache CloudStack by ShapeBlue
State of the Union - Rohit Yadav - Apache CloudStackState of the Union - Rohit Yadav - Apache CloudStack
State of the Union - Rohit Yadav - Apache CloudStack
ShapeBlue297 views
Future of AR - Facebook Presentation by Rob McCarty
Future of AR - Facebook PresentationFuture of AR - Facebook Presentation
Future of AR - Facebook Presentation
Rob McCarty64 views
Elevating Privacy and Security in CloudStack - Boris Stoyanov - ShapeBlue by ShapeBlue
Elevating Privacy and Security in CloudStack - Boris Stoyanov - ShapeBlueElevating Privacy and Security in CloudStack - Boris Stoyanov - ShapeBlue
Elevating Privacy and Security in CloudStack - Boris Stoyanov - ShapeBlue
ShapeBlue222 views
CloudStack and GitOps at Enterprise Scale - Alex Dometrius, Rene Glover - AT&T by ShapeBlue
CloudStack and GitOps at Enterprise Scale - Alex Dometrius, Rene Glover - AT&TCloudStack and GitOps at Enterprise Scale - Alex Dometrius, Rene Glover - AT&T
CloudStack and GitOps at Enterprise Scale - Alex Dometrius, Rene Glover - AT&T
ShapeBlue152 views
GDG Cloud Southlake 28 Brad Taylor and Shawn Augenstein Old Problems in the N... by James Anderson
GDG Cloud Southlake 28 Brad Taylor and Shawn Augenstein Old Problems in the N...GDG Cloud Southlake 28 Brad Taylor and Shawn Augenstein Old Problems in the N...
GDG Cloud Southlake 28 Brad Taylor and Shawn Augenstein Old Problems in the N...
James Anderson160 views
Enabling DPU Hardware Accelerators in XCP-ng Cloud Platform Environment - And... by ShapeBlue
Enabling DPU Hardware Accelerators in XCP-ng Cloud Platform Environment - And...Enabling DPU Hardware Accelerators in XCP-ng Cloud Platform Environment - And...
Enabling DPU Hardware Accelerators in XCP-ng Cloud Platform Environment - And...
ShapeBlue106 views
"Surviving highload with Node.js", Andrii Shumada by Fwdays
"Surviving highload with Node.js", Andrii Shumada "Surviving highload with Node.js", Andrii Shumada
"Surviving highload with Node.js", Andrii Shumada
Fwdays56 views

From producers to consumers: democratizing the access to reference data

  • 1. JORGE SANZ · SOLUTIONS ENGINEER EUROSDR // INSTITUTO GEOGRÁFICO NACIONAL // OCTOBER 2016 FROM PRODUCERS TO CONSUMERS: DEMOCRATIZING THE ACCESS TO REFERENCE DATA
  • 2. By 2020, approximately 25 billion devices will be permanently connected through the internet, all of which will generate location data. SOURCE: GARTNER EVERYTHING HAPPENS SOMEWHERE
  • 3. We are democratizing location intelligence, enabling geospatial analysis like a data scientist without having to be a data scientist. With CARTO everybody can analyze, visualize and extract valuable insights on location data. THIS IS OUR MISSION
  • 4. LOCATION IS THE NEW CHAMPION IN ANALYTICS DIGITAL TRANSFORMATION & MOBILITY DEMAND LOCATION AWARENESS NYC RENT STABILIZATION MAP ● Massive sensorization due to IoT ● Data storage is more accessible than ever ● Empowerment of data scientists & business professionals
  • 5. SOLUTION PORTFOLIO ● Traditional GIS is disconnected ● Trend of consumerized apps in Enterprise ● Niche solutions are too narrow ANALYTICS LOCATION CONTEXT DISCOVERY GEOSPATIAL CAPABILITIES ARE BEING INTEGRATED INTO ALL KINDS OF SYSTEMS & TOOLS
  • 6. * Source: IDC report, Marketmakers report NEW MARKET CREATION INDUSTRIES DATA ANALYTICS $16 BILLION* GLI 6.6 BILLION* GIS $2.5 BILLION* LOCATION BASED SERVICES $7.5 BILLION* “BY 2018, 50% OF ORGANIZATIONS WILL MAKE USE OF GLI CAPABILITIES IN THEIR ANALYTIC USE CASES” THOMAS W. OESTREICH, GARTNER
  • 7. WHAT DOES CARTO DO? CARTO’s location intelligence platform helps organizations use and understand the impact and value of place on operational performance, strategic investments, and everyday decisions. STORE LOCATION ANALYSIS
  • 8. BUILDER A web-based drag and drop analysis tool for business users and analysts to discover and predict key insights from location data. CARTO Builder unleashes the power of location intelligence with self-service, actionable dashboards you can share across your whole organization. LOCATION INTELLIGENCE FINALLY INTUITIVE
  • 9. ENGINE A one-stop shop of geospatial tools, services, and APIs for the rapid development of easy-to-use location applications, CARTO Engine empowers your organization with scalable analysis and enrichment solutions you can fully embed in your web & mobile apps. ● APIs ● SDKs ● Location Data Services ● High Performance Analysis THE MASSIVE POWER BEHIND LOCATION INTELLIGENCE
  • 10. WORLDWIDE ACCESS 1,600+ CUSTOMERS, 250,000 END-USERS | $30M FUNDING TO DATE | 100+ TEAM MEMBERS PIONEERS IN LOCATION INTELLIGENCE
  • 12. By 2020, approximately 25 billion devices will be permanently connected through the internet, all of which will generate location data. SOURCE: GARTNER EVERYTHING HAPPENS SOMEWHERE
  • 13. DATA OBSERVATORY Data augmentation services and seamless access to borders, demographics, segmentation and high value location data layers. The world's most trusted sources of information to pair with your private location data or incorporate into your analysis workflows.
  • 14. ETL Extract, Transform, Load METADATA Well-formed descriptions of columns and tables DATA OBSERVATORY Well-formed and named tables on CARTO CATALOG Searchable list of data we provide DATA ON THE WEB Census products Labor statistics Mapzen Open data portals ... Keep it availableFix it up Document it nicely
  • 15. BOUNDARIES ● Global: Continents, Regions, Countries, Disputed and marine areas ● Spain: Census Tract, Municipality, Province, Region ● UK: Census output areas ● USA: States, Counties, Incorporated places, Secondary School Districts,... ● ...
  • 16. CREATE TABLE my_munis AS SELECT * FROM OBS_GetBoundariesByGeometry( ST_MakeEnvelope( -2.224731,38.515937, 0.343323,40.229218, 4326), 'es.cnig.muni' ); CARTO APIS BOUNDARIES: SQL API
  • 18. CARTO APIS MEASUREMENTS 1. DETAILS ABOUT LOCAL POPULATION, MARKETS, INDUSTRIES, AND OTHER DIMENSIONS 2. SEARCHABLE THROUGH DISCOVERY FUNCTIONS AND THE CATALOG 3. QUERY BY • Point: density value like population per km2 • Polygon: aggregated value like number of widowed persons
  • 19. ALTER TABLE my_munis ADD COLUMN dwellings_rented integer; UPDATE my_munis SET dwellings_rented = OBS_GetMeasure( the_geom, 'es.ine.t18_4' ); CARTO APIS MEASUREMENTS
  • 20. We are democratizing location intelligence, enabling geospatial analysis like a data scientist without having to be a data scientist. With CARTO everybody can analyze, visualize and extract valuable insights on location data. THIS IS OUR MISSION
  • 24. RESOURCES ● https://carto.com/data-observatory/ ● https://carto.com/docs/carto-engine/data/ ● https://github.com/CartoDB/bigmetadata ● https://bit.ly/161013-lds
  • 25. THANKS! GET IN TOUCH JORGE@CARTO.COM http://bit.ly/161019-data-observatory EUROSDR // INSTITUTO GEOGRÁFICO NACIONAL // OCTOBER 2016