Practical Approaches to Agile Development with
University of Texas MD Anderson Cancer Center
Presented by David Bohmann, Sr. Data Integration Developer
UT M.D. Anderson Cancer Center
Practical Approaches to Agile Development
• Human Genome was first sequenced in April 2003. Since that date the fight
against cancer has taken a different trajectory.
• Genomic + Clinical data enables new insight for clinician and researchers
• Moonshots Program - Breakthroughs in advanced kidney therapy, ovarian
cancer, CLL leukemia among others
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About M.D. Anderson
• Established in 1941 by State of Texas, UT System
• Located in Houston’s Texas Medical Center
• Focused on three areas - Patient Care, Cancer
Research and Education
• Employs over 21,000 staff, faculty and volunteers
• Consistently ranked #1 in Cancer Care by
US News & World Reports
• Locations in the US and abroad
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Agenda
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Why Customize?
How To: Customize Out of the Box Assets
Keys for Success: Configuration and Automation
MDA BG Viewer: A Customized Glossary Viewer
Benefits Achieved: Supporting EPIC Go-Live
Future Plans and Next Steps
Q&A
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The Business Case for Customization
• Metadata Manager default connectors provide
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access to most metadata sources, about 80%.
What about the rest?
The other 20% of metadata that doesn’t fit
“the mold” or serviced by a default connector,
still has high value!
How do we bring that into Metadata Manager?
Through custom metadata objects, of course!
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MDA Drivers for Custom Metadata
• EPIC EHR go-live in March of this year put urgency to
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import, relate and share a lot of custom metadata
Had both in-house custom metadata and external
custom metadata from EPIC vendor
For glossaries, determined from users that two additional
glossary types were needed- Metrics and Reports,
each with their own set of attributes
For metadata, needed two custom metadata resources,
one for Oracle’s Healthcare DW and one for FIRE
custom datamarts built to support EPIC reporting
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Key Solution Requirements
• Metadata Manager
• Need a “generic” metadata model, capable of storing and relating a
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lot of different types of custom metadata and attributes
• Should be easily relatable to other resources and glossaries
Business Glossary
• Business users required custom glossaries and attributes
• Should be easily loaded and updated regularly (scheduled)
Business Glossary Web Viewer
• BG Desktop-like features on the web, without deployment
• Need to integrate with existing .NET web port technology
• Should not require login and provide easy term search and filter
• Search highlighting and results export also nice to have
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Customizing METADATA MANAGER
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Customizing BUSINESS GLOSSARY
REPORTS
METAMODEL
METRICS
METAMODEL
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Configuration Changes For Customization
• Main change is in the IMM.properties file to
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allow for override of default model
validation during loading
Under entry for “Customer Modifiable
Properties”
Add entry:
“xconnect.io.ime.validation.skip=true”
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Metadata Load Automation: Best Practices
• Need dedicated file share on server to hold .csv target data
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files created by preload mapping(s)
Use same shared folder in Metadata Mgr resource load for .csv
source file location; check folder security
For complex data or mappings, may need database schema
and helper tables to prepare data
Create project based repository folders
in PowerCenter
or
SHARED
FOLDER REUSED
Developer for mappings and employ naming standards
RAD/Agile abilities in Developer 9.5.x outweigh shortcomings
of no scheduler; partner with 3rd party scheduler or
PowerCenter to overcome this
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Glossary Web Viewer – Custom Stored Proc 1
• Two main functions are rowset returning and generate
dynamic SQL, based on search input
• Get business glossaries from master repository
• FUNCTION Get_Glossary(p_repo_type IN varchar2)
• RETURN cc_glossary_cursor;
Input:
• p_repo_type – default Code value “BusinessGlossary”
Output:
• Cursor containing:
• glossary (repository) name
• glossary (repository) uid
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Glossary Web Viewer – Custom Stored Proc 2
• Get term summary data from business glossaries
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FUNCTION Get_Term_Summary(p_glossary in varchar2, p_compare in varchar2, p_term in varchar2)
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RETURN cc_glossary_cursor;
Input:
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p_glossary – Comma separated list of repository uids (empty string to search all repositories)
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p_term – String to search on
p_compare – Type of search comparison to perform. List of valid values are: Equals, Begins with, Ends
with, Contains, Does not equal, Does not begin with, Does not end with, Does not contain
Returns Cursor containing:
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Glossary (repository) name, Term – From search results
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Name_Path – Used to create the URL required to view in the Informatica Business Glossary tool.
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To create the full URL, concatenate ‘http://<server>:10250/mm/#browse___glossary___’ with Name_Path
Description – Description of the term
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MDA Custom GLOSSARY VIEWER
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Successes and Benefits Achieved
• 7 glossaries and 2 custom catalogs *published*
• 4 of these had direct benefit to EPIC Go-Live
• Users like Web Viewer for quick search; can go to
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MM/BG via link if needed (login required)
Training delivered via custom user guides or CBT
materials
Users cite time savings, productivity gains using
Web Viewer for “governed” terms and definitions
Having integrated UI for Governance Portal sets up
for “one stop” shopping for future users
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Future Plans
• Upgrade to v10 in Q3 2016; will lessen need for custom
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glossary models due to template technology
Go live of “Reports” glossary type for EPIC in May
Working on solution to expose custom metadata catalogs (like
those shown) through our Web Glossary viewer as Data
Dictionary type of asset
Working on “search all fields” functionality, driven by user
input on web portal search page
Establishing process for rapidly onboarding custom metadata
and reusing glossary definitions for BI asset creation (BO
universe and Crystal reports)
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Thank You!
Project Team
Prati Bajwa, David Bohmann,
Jim Delany, Mark Wozny
Contact Info
David Bohmann – dmbohman@mdanderson.org
H2L Customizing Metadata Whitepaper
1) Goto network.informatica.com, then to KB
2) Search H2L resources for “Extend a Custom or Business Glossary
Model in Metadata Manager - Best Practices”
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Wrap-Up
• Challenges with EPIC Implementation and Metadata Needs
• Metrics and Reports Needed New Attributes
• Oracle Healthcare DW and FIRE custom data marts
• Results
• Created “Generic” metadata model, for different types of
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custom metadata and attributes
Business Glossary & Web Viewer - 7 glossaries and 2
custom catalogs *published* - 4 of these had direct benefit
to EPIC Go-Live, Users cite time savings, productivity gains
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Sessions on Latest Innovations
• Hands-on Sessions
Session ID: P&A327 Modern EDI-based intercompany data integration with the B2B Data Exchange
EDI Accelerator - Eran Benayun, Dan Rezac, Armando Martinez
Learn about the B2B Data Exchange EDI Accelerator
Covering partner onboarding, configuration and management via messaging and dashboards.
Date/time: May 23-26 (Available all days, Every hour)
• Deep Dive Sessions
Session ID: DI&BD109 “A Major Application Consolidation and Modernization Initiative” on Monday
May 23th at 9:45 in Room 2004, Moscone West.
American Equity and AXA will talk about their best practices for Application Modernization and
Consolidation. AXA will describe their best practices for consolidating SAP and PeopleSoft
applications. American Equity will present how their policy creation and customer loyalty improved
from implementing Informatica PowerCenter, B2B Data Exchange, & Data Transformation with
libraries for the DTCC and ACORD standards.
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