Leveraging Cloud-Based Mapping Solutions
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1 Leveraging Cloud-Based Mapping Solutions GeoAlberta October 28, 2014 Laura Kerssens Safe Software
2 Agenda To the Cloud Using Basic Services Cloud Applications Web Services Cloud-Hosted Databases Real-time
3 So Much is Moving to the Cloud
4 It s a Big World Cloud computing How to define it?
5 Advantages Lower cost Scalable Reliable Accessible
6 Making the Most of the Cloud Infrastructure as a Service
7 Making the Most of the Cloud Platform as a Service Infrastructure as a Service
8 Making the Most of the Cloud Software as a Service Platform as a Service Infrastructure as a Service
9 Making the Most of the Cloud Software as a Service Platform as a Service Infrastructure as a Service
10 Data in the Cloud Cloud Data Services Geocoding Mapping services Routing Online Data Portals Socrata Google Maps Engine ArcGIS Online Cloud Data Storage Amazon RDS SQLAzure Google Fusion Tables
11 Online Data Portals Socrata Google Maps Engine ArcGIS Online And more
12 Socrata Open data platform Data upload and updating Share publically or create privately View tables and maps directly in the browser
13 Open Data Portal
14 City of Edmonton s Data Portal
15 Socrata: The Basics Publish Update View Query Visualize Demo
16 City of San Francisco 311 Data
17 Demo Directly import data into Socrata Create new datasets Update existing
18 Questions?
19 What is Google Maps Engine? Upload data to the cloud to create custom web maps Share spatial data (publically or internally) Make data findable within the Google universe #GMEandFME
20 Google Drive for maps. Google Maps Engine is Google Drive for maps Allows for document sharing #GMEandFME
21 Historical and educational maps from around the world WHAT IS GOOGLE MAPS GALLERY
22 Map Gallery: San Jose
23 The Basics
24 Demo GME Vector Writing
25 Demo GME Raster Writing
26 San Jose Workflow Update Google Maps Engine tables
27 Demo Updating
28 City of Edmonton: Part Two Socrata to Google Maps Engine synchronization
29 Workflow
30 Workflow
31 Automating the updates
32 Questions?
33 What is ArcGIS Online? Cloud based platform for creating and sharing data Upload and publish data layers Create and style web maps Incorporate Spatial Analysis tools into maps and custom applications
34 ArcGIS Online Gallery
35 Map Portals Iowa Department of Transportation
36 ArcGIS Online: The Basics
37 Demo AGOL Feature Service Writing
38 Demo AGOL Feature Service Reading
39 Live Data Tracking
40 Demo AGOL Updating
41 Creating Apps
42 ArcGIS Online App for Airports
43 Architecture
44 Open Data Bridge Combining Technologies ArcGIS Online FME Server CKAN
45 Workflow. ArcMap AGOL FME Desktop FME Server map.apps service definition REST Service Shape to Json Scheduled Job customized App data processing ETL data update (scheduled job) User friendly data access Cartography Cloud data storage
46 Data Source Open Data Portal.
47 Step 1: ArcMap Initial ArcGIS Online Service Definition
48 Step 2: ArcMap Creating an ArcGIS Online REST service
49 Step 3: FME Desktop Update Process (Shape to JSON)
50 Step 4: Automated Data update based on FME Server
51 Goal: Get Easy Access to Open Data (map.apps)
52
53 ArcGIS Online App
54 CKAN City of Surrey
55 Others St Louis County Writing to Socrata and GitHub IDE Rioja Oracle to GitHub
56 Why GitHub GitHub is a web-based Version Control System (VCS) which records changes to a file or set of files over time. Allows: commit files to a public repository revert files back to a previous state review changes made over time see who last modified something, and more...
57 Sharing Public Data
58 Workflow
59 The Beauty of GeoJSON in GitHub GitHub supports automatic rendering of GeoJSON repositories using Leaflet.js Looking ahead geojson.io a Chrome extension for editing IDE Rioja plans open collaboration on spatial data with GitHub FME can include links to image data when writing GeoJSON (automatic download service)
60 Things to know Some APIs services have limits Maximum time to be connected Maximum features to load
61 Cloud Services for Spatial Data REST JSON Standards for communication
62 Online Mapping Services What does this mean? Google maps Bing maps Arcgis maps
63 Online Mapping Services In web applications Desktop applications
64 Demo Data Validation
65 Background Maps.
66 OGC Web Services WMS, WFS, etc OGC standards
67 Other Web Services Directions via mapping services Geocoding services Geoprocessing services
68 ArcGIS Online Web Services Accessed via REST Results as JSON is/rest/services/world/servi ceareas/naserver/servicearea _World/solveServiceArea?toke n=<yourtoken>&facilities= ,37.757&outSR=102100& f=json { "sapolygons": { "spatialreference": { <spatialreference> }, "features": [ { "attributes": { "<field1>": <value11>, "<field2>": <value12> }, "geometry": { <polygon1> } }, { "attributes": { "<field1>": <value21>, "<field2>": <value22>
69 ArcGIS Online Web Services Geocoding GeoEnrichment Directions and Routing
70 AGOL Services (Geocoding, Routing, and Drive Time)
71 AGOL Services (GeoEnrichment)
72 Geocoding Tools ArcGIS Online Google Microsoft Geocode Dataflow API BatchGeo And more
73 Demo Work with spatial data using cloud-based GIS services
74 Using REST to easily combine technologies. map.apps ArcGIS Plattform REST FME Plattform
75 Web app integration map.apps FME ArcGIS Online
76 Workspace.
77 ArcGIS Online REST request.
78 Calculate bush fire risk before construction Barrett Higman, GIS Officer of Alpine Shire Council
79 Cloud-Hosted Databases storage and software included easy to share data many have extra tools to get more from your data offload work to external servers built to handle it
80 Amazon Web Services Amazon RDS Dynamo DB Redshift
81 RDS Relational Database Service Scalable database in the cloud PostGres/PostGIS Oracle MySQL SQLServer
82 Demo Read and write to database the same as you would with a local database
83 NoSQL SSD-based database service No limit on size of Database Specify the needed performance Autoscale through Dynamic DynamoDB
84 MarkLogic NoSQL database XML optimized Powerful search and analysis Native Spatial Support XML based data model (GML, XML, etc.)
85 Example Use REST to upload XML to MarkLogic HTTP PUT e696-43c9-b7a9-fa510e xml XML <xml> <docid>{fme:get-attribute("_uuid")}</docid> <docauthor>{fme:get-attribute("user")}</docauthor> <modtype>{fme:get-attribute("updatetype")}</modtype> <UpdateDate>{fme:get-attribute("_timestamp")}</UpdateDate> <filepath>{fme:get-attribute("filepath")}</filepath> <comment>{fme:get-attribute("comment")}</comment> <doc_xml>{fme:get-xml-attribute("_file_contents")}</doc_xml> </xml>
86 Google Fusion Tables Support for large tables Create charts, maps, and graphs Save and share through Google Drive
87 Others SQLAzure: Microsoft Azure hosted SQL Server database Google Cloud SQL: MySQL database in the Google Cloud platform
88 Bringing Cloud Technologies Together Create complete solutions using a combination of tools
89 Internet of things Sensor data Asset tracking Databases that can handle the data
90 Real-Time Building an event driven architecture
91 Live Data Weather Network lightning alerts
92
93 ipaas Cloud integration platforms Zapier IFTTT FME Cloud
94 Zapier
95 Database Triggers When database is modified, send REST request to a Cloud service
96 All of the Above Iowa DoT
97 Automatic Vehicle Location Invisible to driver Real-time flow of data position, status, material usage, conditions Data uploading to Amazon cloud FME moves data to Oracle Spatial for internal usage, then to AGOL for public viewing
98 Dashcams Dash-mounted iphones send image stream when vehicle is in motion FME handles KML generation and upload to Windows Azure
99 AGOL Public Data Access ArcGIS Online keeps public informed with current plow status and conditions
100 Dashcam Feeds Public can also see what the driver is seeing for better awareness of road and weather conditions making winter driving safer.
101 Wrap Up Advantages of the Cloud Web based data portals Cloud services Cloud-hosted databases Integrating systems
102 Thank You Laura Kerssens Product Support Specialist Safe Software
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