Iowa Department of Public Health (IDPH) is proud to share our path to success in delivering faster and better access to data. Attendees will learn how IDPH recovered from an end-of-life legacy platform and an aging data center on life support. By shifting from on-premises to cloud-based AWS storage coupled with Tableau for analytics, IDPH was able to adopt an enterprise-wide data consumption model. The AWS migration has resulted in increased service quality, operational stability, and network sustainability. By deploying Tableau on AWS, data is able to be consumed faster, project collaboration is easier, and rate of innovation is increased. Sponsored by Tableau.

1. P U B L I C S E C T O R
S U M M I T
WASHINGTON DC

2. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.P U B L I C S E C T O R
S U M M I T
Bringing Life Back to a Data
System Through AWS and Tableau
Rob Walker, MS
Epidemiologist/Data Scientist
Iowa Department of Public Health
Environmental Public Health Tracking
Ryan Malecky
Solutions Architect
Amazon Web Services

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Disclaimer: This presentation was
created by an Environmental Public
Health Tracking grantee. but the
findings and conclusions in this
presentation are those of the authors
and do not necessarily represent the
official position of the Centers for
Disease Control and Prevention.

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Agenda
Background of the Tracking program
Original Portal Infrastructure
Redesign Improvements
Migrating to AWS
Examples of Value Added Uses

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Environmental Public Health Tracking
Collection
Integration
Analysis
Interpretation
Dissemination
Data
Exposure to
Hazards
Action
Environmental hazards
Exposures to those
hazards
Health effects that may
be related to the
exposures
Plan
Apply
Evaluate

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7. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.P U B L I C S E C T O R
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IPHT Portal Requirements
Tables Charts Graphs Maps
All downloadable
Aggregation & Suppression
Role based access
Data
Presentation:
Security &
Confidentiality:
What is being presented
Why is it important to health?
Content
Messaging:
Strengths and limitations
Data interpretation and use
Descriptive
Metadata:

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IPHT Portal Requirements
Generate visual displays
Count and rate spatial and temporal
Sort and change dimensions
Ability to zoom in on data
Dynamic Query:
Public Portal: Interaction:
Section 508
Compliant:
Public access with structured flow
Maintain visual consistency
Assist with visual impairments
Color blindness

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Planning for the End of Time
PerformancePoint EOL
Geriatric Data Center
Cloud solution looking more feasible
Exploration

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Picking a Winner
Microsoft BI
Tableau
Amazon QuickSight
Google Data Studio
IBM Cognos
BI Platforms

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Research Portal Replacement
15 copies of Desktop
Began Proof of Concept of portal
Created full demo
Tableau

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Accelerated Plans
Timeline went from 18-24 months
to 6-8 months
Choose a replacement product
Plan and implement replacement
Timeline

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Redesign Process
Purchased Tableau Server (8 core) subscription
and installed in AWS
Design and develop visualizations
SME and clear language review
Build pages in DNN
Launch
Portal Build

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Where to Now?
Migrate data center to AWS
(First phase of production – Highest priority)
Expand Tableau throughout department
Evaluate benefits
Next Steps

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Expected Benefits
IM Focus on data
Programmatic staff optimization
No longer constrained to
cubes
Can use Excel for use test cases
Reduction of
Resources:
Data Flexibility:
Programmatic level
Quick fix to content or
visualizations
Portal Changes:
Can be done through Tableau scripts
Flexibility
Data
Suppression:

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Expected Benefits
Near real time data Maps in seconds, not hours
Emergency
Response:
Mapping:
Improved customer satisfaction
Quick fix to content or visualizations
Ease of use:
Staff savings
Invest in data exploration
ROI:

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AWS Pre-Migration
Pre-migration Planning – 18-24 months
Application Inventory
Why?

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Application Inventory
Red – Application upgrade or replacement required
Yellow – Application should be upgraded but can be migrated
Green – Application can be migrated in current state

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Independent Review
Service Agent
Memory
Processor usage
IO

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Planning to Implementation
Contractor
Mapped entire system
Developed “sprints” for
deployment
Complete phases of deployment

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Deployment
Phases
Foundation
dev – test – production
Data Center
Common Apps
High priority to low

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Tableau Deployment
Phase 2
Move server to AWS
Combine Public and Private
Move Data

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28. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.P U B L I C S E C T O R
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Model Cloud BI Architecture
Raw Data Collect/
Store
Analyze Data
Warehouse
Analyze
Amazon
S3
Amazon
Redshift
Amazon
RDS
Amazon
EMR
Amazon
Athena
Flat Files
Application
Data
Server Logs
Internet APIs Tableau Serve

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Tableau and AWS - Databases
Named Connectors
• Amazon Redshift
• Amazon EMR
• Amazon Athena
• Amazon Aurora
• Amazon RDS
• Postgres
• MySQL
• MS SQL Server
• Oracle
Desktop
Direct Connection or
Extract (In-Memory)
Connection from
published
datasource or workbook
Workbook, connection or extract

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Deployment: Standalone (single-node)
https://aws.amazon.com/quickstart/architecture/tableau-server/

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Deployment: Cluster (multi-node)
https://aws.amazon.com/quickstart/architecture/tableau-server/

32. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.P U B L I C S E C T O R
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Server Sizing
• Start Small and Grow Later
• Scale Vertically
• Single EC2 instance
• Resize to a larger EC2 instance
• Scale Horizontally
• Primary + Worker Nodes
• Elastic Load Balancer

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Garners 5 R’s
Hybrid
Infrastructure as a Service (IAAS)
Platform as a Service (PAAS)
Software as a Service (SAAS)

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Security
PHI Data
Scanning
Encrypt within app
Move to “Gov” side of AWS

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Evaluation
Successes
Previous experiences
Great staff
Training
Sandbox

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AWS Benefits
Cost Savings
Time savings
Performance Increase
Ease of Maintenance
AWS Benefits

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Evaluation
Challenges
Start earlier
Move quicker
Communication

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Take Home
Start planning early
Comprehensive inventory
Build for the future

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Sample Tableau & AWS Use

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Tableau and AWS during Disaster Response

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Rapid Environmental Assessment Tool

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Data Linking with Tableau in AWS

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Identifying Area of Need

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Updating the ECC

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Thank you!
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.P U B L I C S E C T O R
S U M M I T
Ryan Malecky
rmalecky@amazon.com
Rob Walker, MS
Robert.walker@idph.iowa.gov