The Great Migration. Suzanne Butler, Waitaki District Council
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1 The Great Migration Suzanne Butler, Waitaki District Council
2 The Great Migration Migrating Reticulation Data from Oracle to SQL Spatial Where did we begin? Migrate to SQL Database? Are we talking the same language? Improving the way we work Improving the way it looks What we learnt What now?
3 The Great Migration Where did we begin?
4 Waitaki District Ohau
5 Waitaki District Lake Benmore
6 Waitaki District Oamaru
7 Waitaki District Moeraki
8 Waitaki District Macraes URL:
9 Waitaki District Population 20,200 Rateable Properties 13,500 Land Area km 2 9,000
10 Waitaki District GIS
11 Waitaki District GIS Reticulation First Dataset developed 1998 Micro Station > Oracle 2013
12 Waitaki District GIS 1998 District Plan 2013
13 Waitaki District GIS 1998 Property Data 2013
14 Waitaki District GIS 1998 and other Territorial Authority Datasets 2013
15 Waitaki Retic data prior to the Migration Reticulation Data Water ~ Sewer ~ Storm Water
16 Waitaki Retic data prior to the Migration GIS Oracle Database Customised Schema to enable valuation Triggers to assist in data management Pick lists for consistency in data entry Data served up to internal web and available to desktop users Asset Data
17 Waitaki Retic data prior to the Migration Hansen (Version 7 & Prior) SQL Database Un-customisable Schema Some Business Rules Work Management Data Access from Desktop application Asset Data & Work Management
18 Waitaki Retic data prior to the Migration ACS Oracle Database Un-customisable Schema Data Access from Desktop application only Data had no spatial relationships Corporate System
19 Waitaki Retic data prior to the Migration Customer Request System (KBase) SQL & Access Engineers Database Water Modelling (Infoworks) Waypoints Data (Fugawi)
20 Waitaki Retic data prior to the Migration Constrained by existing systems and processes
21 The Great Migration Migrate to SQL Database?
22 How did the migration become possible? Hansen 8 Upgrade Web-based Customisable Database Access Valuation Module
23 How did the migration become possible? ACS Authority Web-based SQL Database Corporate System Partially Customisable Spatially Aware
24 Reasons to migrate GIS Online Access Improve GIS Web user experience Better Business Processes Shared Platform
25 Reasons to migrate Transparency Consistency Remove Duplication Increase user confidence Meets our asset management needs Provide information not data
26 Seamless Integration GIS
27 The Great Migration Are we talking the same language?
28 Terminology System Terminology Water Pipe GIS Pump Main GIS Water Main Hansen
29 Terminology System Terminology Asset_ID Integer GIS Map No Txt Hansen
30 Terminology User Terminology
31 Schemas Schemas Water Pipe Pump Main Water Tee Water Endcap Water Other Node Break Pressure Tank Sampling Tap Water Main Water Node Tee Endcap False Node Water Miscellaneous Break Pressure Tank Sampling Tap Water Hydrant Water Valve Water Hydrant Water Valve
32 The Great Migration Improving the way we work
33 Good Housekeeping Feature Naming Convention RTC Data Owner RTC FIN Finance RTC Retic WST Solid Waste WDC Waitaki District Council
34 Good Housekeeping Feature Naming Convention RTC_WT WT Data Abbreviation BD Boundary DL Datalogger FS Foul Sewer SW Stormwater WT Water ZN Zone
35 Good Housekeeping Feature Naming Convention RTC_WT_MAIN MAIN Data Description HYDRANT MAIN METER RESTRICTOR SERVICELINE VALVE
36 Good Housekeeping Feature Naming Convention RTC_WT_MAIN_V V View Hansen Authority
37 Data Relationships and Structure GIS Tool set Hansen Asset Data Views Transparency Consistency Remove Duplication Increase user confidence Meets our asset management needs Provide information not data
38 Data Relationships and Structure Proposed Environment GIS HANSEN PROPOSED PUBLISH LIVE Service Status = IN ABANDONED Service Status = ABN LIVE LIVE VIEW ABANDONED ABANDONED VIEW
39 Data Relationships and Structure In GIS SQL Spatial Database each Retic Asset Type has: Proposed Table Live Table All Fields (20 Tables, 60 Triggers) Asset ID and Geometry (21 Tables, 42 Triggers) Live View Table linked to Authority & Hansen 8 (IN) (21 Views, 21 Triggers) Retired Table Asset ID and Geometry (21 Tables) Retired View Table linked to Authority & Hansen 8 (ABN) (21 Views)
40 Data Relationships and Structure Attribute consistency across features
41 Data Relationships and Structure Mapped data relationships
42 Data Relationships and Structure Data sources for each feature
43 New Structure Specifications to Alan to develop Hansen Asset Data & Inspection Records Authority Data
44 Data Relationships and Structure
45 Data Relationships and Structure Identifier & Location Information Rating Information Material Information
46 Data Relationships and Structure Classifications Hyperlinks Meter Readings Hansen Unique ID & Audit Valuation
47 Creating an Asset Proposed GIS AssetID UNITID Live GIS Published Hansen COMP COMPKEY AssetID UNITID AssetID UNITID COMPKEY Created Hansen DP01 Hansen Val
48 Updating an Asset SQL Instead of Triggers & associated code GIS View Hansen COMP Hansen DP01 GM Modification Log Hansen Val AUDIT TRACKING
49 Updating an Asset Audit Tracking Any changes are recorded in the Audit Tracking Grid Hansen User ID linked to Domain ID is used to identify who made the modification
50 Business Rules Business Rules Compulsory Fields Required Format Logical Data Calculated Values
51 Business Rules Pick lists/lookups Examples MAINS ASSESSMENTS ASSOCIATED ASSETS UNITID & UNITID2 lookup existing nodes Therefore nodes must be published first Looks up existing Rating Assessments Therefore Rating Assessment must exist Looks up the Asset views Therefore Associated Assets must exist ACQUISITION PROJECT Looks up Hansen Projects Therefore Project Codes must be added to Hansen first
52 Integration GIS
53 Integration Easier to get to other systems via Hyperlinks HANSEN Autogenerated link to applet + asset identifier Single User sign-on
54 Integration Authority Hyperlink Open the ulaunch in Authority An active x script was created to open a command shell to run the ulaunch program from the server as a trusted site Varying permissions to data
55 Success Seamless Integration Single Data Entry & Dynamic Pick lists Audit Tracked Business Rules easily applied
56 The Great Migration Improving the way it looks
57 Symbology View to establishing an external web Read/Write access opened up for data Changes in Schemas
58 Symbology Adopted BOPLASS Symbology Set
59 The Great Migration What we learnt
60 What we learnt Work out how long it will take and x 3 Maintain a test environment for training Sharing is great!
61 The Great Migration What now?
62 What now? Further validation of data via triggers & default values Adding Assets to Authority via triggers Smart client Upgrade to 2013 External website up Migrate the remaining Oracle GIS Data More informative data sets
63 Questions?
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