Strategies & Technologies for Enterprise Data Management
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Transcript of Strategies & Technologies for Enterprise Data Management
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Strategies & Technologies for Enterprise Data Management
Joe PughEnterprise Data ManagementJanuary 24, 2014 2
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• Vision for Enterprise Data Management
• Basic Concepts of Linear Referencing
• Data Integration
• Data Analytics
• Next Steps
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Topics
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Vision Diagram
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Linear Referencing SystemBasic Concepts
Linear referencing is defined as a method for storing geographic data by using a relative position along an already existing linear feature.
Linear Referencing Methods• Route Number and Mile Marker• Intersection and Offset• Street Name and Address Number• * Latitude and Longitude (X, Y)
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Previous Data Integration Pattern
• More than 600 data exchanges in place
• Worked well for expediency, but created long term
problems 6
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Data Integration Concept
Data Exchange Broker
Financial Data
HR Data
Data Exchange
Broker
Target System
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Data Integration Objectives
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Reduce point-to-point interfaces
Minimize replication of data over and over
Report success and failure of data transfers
Internal / external system integration5
Facilitate real-time data exchange
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Current Data Integration
• Reducing hard dependencies between systems
• Reusable ETL scripts = less custom code
• Standard Data sets copied out of source only once
• Errors are caught before the data goes to the target systems
• All data exchanges are catalogued – and pre-approved by business
owners
DEB
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Data Integration
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Temporal Data Analysis
Business Objectives…1. The ability to answer temporal questions linking the road
network as well as the transportation business events such as
speed zones, crashes etc.
2. Ability to meet compliance and auditing requirements
3. Historical querying is complicated and unavailable to most
4. Ability to recover quickly during system crash or user errors
5. Ability to locate data as of a previous date. E.g. VDOT will use
this for pavement data synchronization.
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Temporal Data AnalysisOracle Solution
• Transparent to application• Updates applied from point in time • Ability to work with geospatial data
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Time Slider & Geo-database Archiving ESRI
Features• Visualizing, analyzing, and animating location and time-aware data
provides opportunities for powerful storytelling…and a new dimension to managing data
• Persists all edit history of a feature (i.e., roads) in the default version of the data. Allows for visualization of the data at a specific date/time.
• Dynamic - safety service patrols, snowplows
• Distinct - crashes, bridge inspections
• Static - traffic volumes
• Structural - routes, jurisdictions, census data
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ESRI Solution
Time Slider Example – Mobile Phone Subscriptions
Source: ArcGIS.com
Tools for desktop and web applications
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Next Steps
• Incorporating Smart Phones and Tablets for
data collection and information dissemination
• Dissemination of geospatial information from
the cloud
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