April 2009 Oracle Spatial User Conference

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1 April 2009 Oracle Spatial User Conference

2 Oracle Spatial User Conference April 23, 2009 Westin Tampa Harbour Island Hotel Tampa, Florida USA

3 April 2009 Oracle Spatial User Conference Glenn Kronschnabl Chief Information Officer First American Spatial Solutions

4 April 2009 Oracle Spatial User Conference Managing ParcelPoint on Oracle Spatial 11g -Lessons Learned

5 First American Corporation A diversified, international services provider and a Fortune 500 company with over $6.5 Billion in annual sales The largest provider of business and real estate information First American products touch over 90% of all property transactions that occur in the US every year First American provides information solutions to the largest Mortgage and Insurance companies in the US

6 First American Spatial Solutions Small Start-up Division, spun off from Flood Division along with acquisition of Proxix Solutions, with vision: Focus on spatial data and solutions leveraging core expertise of accurate location Some Products: Locational accuracy: ParcelPoint, PxPoint Risk solutions: Flood Risk Score, Flood Model, Wildfire Tax solutions: Premium Tax Spatial is the essential ingredient for our organization to sustain growth as all new applications feature spatial analysis and analytics

7 ParcelPoint Components 1 Can be used to attach related information (not necessarily the geometric centroid of the parcel) Gives a general point location of the parcel. 2 Latitude and longitude Descriptive visual layering 3 Standardized code used by the county to track each property 4 Accurate address processed through our proprietary database

8 ParcelPoint Coverage & Roadmap TO BE ADDED

9 Technology/Skill Sets Develop custom enterprise applications for external & internal use GIS Oracle 10g, 11g on-site DBA s BEA WebLogic J2EE on/off-shore development ESRI Desktop, ArcIMS, ArcSDE on-site support SQL Server Geographers/GIS development staff Open source (GeoServer, Geotools, udig)

10 The Problem Enterprise applications Desktop GIS applications Spatial Data Transactional Data Traditional GIS Enterprise Solutions Silos: Technology & Staff

11 Early Solutions: Limited Success Early solutions failed - too limited How to best move forward? Criteria Investment, skill sets, enterprise capable (including mapping), integration of transactional and spatial data sets, spatial data access Option 1: use ESRI SDE (SDE_BINARY) on top of Oracle 10g Option 2: migrate SDE (SQL Server) data to Oracle 11g Spatial (SDO_GEOM)

12 Options: Pros/Cons Option 1: use ESRI SDE on top of existing Oracle 10g, using SDE_BINARY format Pros: easiest, least costly Cons: black box, limited integration between spatial and business data, results do not take into account Earth's curvature (less accurate) Option 2: migrate SDE (SQL Server) data to Oracle 11g, using SDO_GEOM Pros: better integration, SQL access, leverage existing Oracle investments, results take into account the Earth's curvature (more accurate) Cons: Oracle spatial learning curve (Dev & DBA s)

13 Database Configuration HP ProLiant DL580 G5 server 32GB RAM 4 quad-core Intel Xeon 2.4GHz SUSE Linux bit Oracle bit HP ProLiant DL580 G5 server 20GB RAM 2 quad-core Intel Xeon 2.4GHz SUSE Linux bit Oracle bit Primary Database LGWR ASYNC DataGuard GigaMAN Physical Stand-By Database

14 Content Overview Spatial layers (all in WGS 84): Parcel, Parcel_point, Parcel_load_summary FEMA Flood (not Q3 [far superior], includes LOMA/R s) Streets County, State, Zipcode Dams & levees Others NED, National Hydrography Dataset [USGS] Wildfire, Storm Surge, Coastline,

15 Challenges Some of the original difficulties we faced: Partitioning for spatial indexes unusable We did not use partitioned spatial indexes because of partition overhead bug; each partition scan takes around 1ms (e.g., to scan all 3219 partitions takes around 3.2s to do simple SDO_RELATE mask=anyinteract query Fixed with Patches and SDO_AGGR_MBR poor performance on 100+ million (geodetic) layer Inability to use Materialized Views w/ Fast Refresh for join query that includes SDO_GEOMETRY type in SELECT query (documented limitation)

16 Applications Parcel-Level Geocoding Web Mapping Service (WMS) Data Layers; Parcel polygons & Points, Flood polygons, Dam/Levee, National Hydrography Dataset Use open-source GeoServer 1.6.x Wrap with security, usage, billing, etc. Support for Oracle isn t on par with PostGIS, etc. Provide clients enhanced JavaScript SDK for use in Google/Virtual Earth

17 Geocoding Accuracy Traditional Parcel-Level

18 Parcel Level Geocoding Concrete Example Legacy Interpolated Geocode ParcelPoint Geocode vs.

19 Advantages of Parcel-Level Geocoding A Parcel-based Geocode is the fundamental building block for determining the right answer to any number of analytical questions when combined with other spatial data sets Malibu Rd., Malibu, CA N W, APN : Rating Terr: 89, Dist to Coast: 100ft, Surge: Extreme, WildFire: Extreme, Sinkhole: Low, Hail/Tornado: Low, Property Info: 2-story, Built 1989, Owner: Susanne Summers, Roof Composition: Cement/Tile, Building Composition: Masonary/Stucco, Utilities: Gas & Electric, Valuation: $2.5M, Loan information.

20 April 2009 Oracle Spatial User Conference D E M O N S T R A T I O N Web Mapping Application

21 Web Mapping Government Insurance Underwriting Navigation Mapping Oil and Pipeline Real Estate Routing Tax Utility Wireless

22 Google Earth

23 Conclusions First American Spatial Solutions was at a decision point Needed to choose its spatial platform for the decade ahead Went with x86, SUSE Linux 10, Oracle 11g w/ Spatial Successfully navigated thru the transition and thus far have been pleased with our decision Oracle is committed to spatial finally a viable enterprise solution

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