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Strategies & Technologies for Enterprise Data Management

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Strategies & Technologies for Enterprise Data Management. Joe Pugh Enterprise Data Management January 24, 2014. Topics. Vision for Enterprise Data Management Basic Concepts of Linear Referencing Data Integration Data Analytics Next Steps. Vision Diagram. - PowerPoint PPT Presentation

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Page 1: Strategies & Technologies for Enterprise Data Management

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Page 2: Strategies & Technologies for Enterprise Data Management

Strategies & Technologies for Enterprise Data Management

Joe PughEnterprise Data ManagementJanuary 24, 2014 2

Page 3: Strategies & Technologies for Enterprise Data Management

• Vision for Enterprise Data Management

• Basic Concepts of Linear Referencing

• Data Integration

• Data Analytics

• Next Steps

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Topics

Page 4: Strategies & Technologies for Enterprise Data Management

Vision Diagram

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Page 5: Strategies & Technologies for Enterprise Data Management

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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Page 6: Strategies & Technologies for Enterprise Data Management

Previous Data Integration Pattern

• More than 600 data exchanges in place

• Worked well for expediency, but created long term

problems 6

Page 7: Strategies & Technologies for Enterprise Data Management

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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Page 9: Strategies & Technologies for Enterprise Data Management

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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Page 12: Strategies & Technologies for Enterprise Data Management

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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Page 14: Strategies & Technologies for Enterprise Data Management

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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