Marine and Coastal Data Services in the Cloud. Richard Rombouts - Snowflake Software Ltd. & Keiran Millard SeaZone Solutions Ltd.

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1 Marine and Coastal Data Services in the Cloud Richard Rombouts - Snowflake Software Ltd. & Keiran Millard SeaZone Solutions Ltd.

2

3 Marine Geospatial Data Inspired Marine Data?

4 SeaZone HydroSpatial Global Base Content Coverage One

5 Becoming Inspired HydroSpatial Base Discover Metadata Build ISO INSPIRE MEDIN HS Base Use Application Schema Feature Catalogue Available for others to use INSPIRE Themes

6 HydroSpatial Base and INSPIRE Sea Regions 0.37% Utility and governmental services 10.49% Production and industrial facilities 16.48% Hydrography 8.24% Transport Networks 13.48% Land Cover 8.99% Natural Risk Zones 3.00% Buildings 8.61% Species distribution Land 2.62% Use 0.75% Human health and safety 2.62% Habitats and biotopes 3.00% Area management/restriction/re gulation zones and reporting units 11.24% Geology 4.87% Elevation 1.87% Agricultural and aquaculture facilities 3.37%

7 How to expose INSPIRE features? SR:Coastline HY:InterTidalArea WFS EL:Bathymetry TN:ShipRoute Sea Regions 0.37% Utility and governmental services 10.49% Production and industrial facilities 16.48% Hydrography 8.24% Transport Networks 13.48% Land Cover 8.99% Natural Risk Zones 3.00% Buildings 8.61% Species distribution Land 2.62% Use 0.75% Human health and safety 2.62% Habitats and biotopes 3.00% Area management/restriction/re gulation zones and reporting units 11.24% Geology 4.87% Elevation 1.87% Agricultural and aquaculture facilities 3.37%

8 Cloud Data Services Data as a Service (DaaS) is not new! Do it yourself Partner Out-source

9 Cloud Data Service Infrastructure Administration Services Service Monitoring & Testing Data Publication Services Performance & Capability (Ad-hoc) Availability (Continuous) Data Maintenance Workflow API Management WFS WFS WFS WFS Hydro spatial Transform Publish Validate Receive Validate Load Validation fails

10 Data Maintenance Infrastructure Current configuration Data Publication Services Hydrographical Offices API Management WFS WFS WFS WFS HydroSpatial Esri FileGeoDB OGR2OGR

11 Data Maintenance Infrastructure Planned configuration Data Publication Services Hydrographical Offices API Management WFS WFS WFS WFS HydroSpatial Workflow Workflow Transform, Validate, Publish Validate, Load

12 Configuration Database Cluster Postgres database cluster (EnterpriseDB) on Amazon Web Services Benefits of Cluster: Can start with two database instances and increase number of instances as demand increases Data automatically replicated between instances Can establish database instances in different geographic regions (e.g. Europe, North America, Middle East) to ensure QoS

13 Configuring the Data Services Publishing from single source to multiple schemas (eg. INSPIRE, S-100) Using off-the-shelf software Rapid configuration and deployment of new data services

14 Configuring Data Services with GO Publisher DEMONSTRATION

15 Deploying Data Services Once schema transformation configured project is deployed within WFS But first need to configure WFS settings: GetCapabilities Encoding format (compressed/uncompressed) Servlet pattern Finally, generate WFS war and deploy to application server

16 Deploying Data Services SQL Query Data Request Database Records Schema translation HydroSpatial SQL Query Database Records Schema translation Data Request Server Database table information Translation configuration Desktop

17 Deploying Data Services with GO Publisher DEMONSTRATION

18 API Management Services Security: Firewalls, ports usernames/password Analytics and Reporting Billing and Payments Bad requests Malformed/Malicious Request the world or data outside allowable area of interest

19 API Management Services WFS Proxy

20 Administrator Services Service Monitoring & Testing Performance & Capability (Ad-hoc ) Requirements: GetCapabilities & DescribeFeatureType Response: <10 seconds GetFeature: Bounding Box for 1 feature 30 seconds 50 simultaneous users Measurement: 10 requests submitted per second for 50 simultaneous users Combination of GetCapabilities, DescribeFeatureType & GetFeature Sustained for 1 min Availability (Continuous) Requirements: Available 99% of time Max unplanned downtime = 3.63 days/yr Periods of planned downtime for are maintenance excluded Measurement: 10 requests submitted per hour Monitoring is continuous for lifetime of service Combination of requests

21 Using the Data Services

22 Using the Data Services in Quantum GIS DEMONSTRATION

23

24 Richard Keiran Millard

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