The Data Warehousing Seminar 2012
Featuring Mike Hermida
June 25 -26, 2012
Washington, D.C. - Radisson Crystal City
 (2020 Jefferson Davis Hwy Reagan Washington National Airport Minutes to Downtown Metro, Mall & Crystal City) 

Seminar Abstract, Speaker Bio and Pricing
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DATA ARCHITECTURE, MODELING AND DESIGN
FOR DATA WAREHOUSING

◊ (A Two-Day Practical Experience Tutorial by Mike Hermida) ◊ 
 Mike Hermida, President, K3MP Technologies,
 “Popular Seminar Leader and World Leading Expert in Data Warehouse Design”
(Past Lead Architect on Space Shuttle and Spacelab Programs, and IBM Data Manager)

“This is a must for any Manager, Technical or Professional Person Who Maintains, Develops, Plans or is Contemplating Projects in the Data Warehousing or Data Management Arena”

“ Mike Hermida is One of the Most Popular, Entertaining and Informative Instructors in the Data Management World”

SEMINAR TOPICS COVERED

Alignment with Business Strategy	Data Warehousing Components	E-R vs. Dimensional Modeling
Corporate Data Warehouse vs. ODS	Master Data Management Role	Identifying Trusted Sources of Data
Enterprise Data Model Foundation	Golden Source of Truth	Data Distribution Management
Capturing Useful Metadata	Data and Component Re-use	Federated vs. Centralized
Snowflaking and STAR Schema	Dealing With History Data	Handling Transactions / Activities
Data Governance & Stewardship	Surrogate vs Business Keys	Data Standards / Enforcement
Data Integration / Data Sharing	Data Transform Methods	Data Quality Assessment
Designing / Using Hierarchies	Detail vs Summary Tables	Data Element Evaluations
Data Access Considerations	Data Staging Objectives	Source to Target Mapping Strategies
Working with Materialized Views	Setting Up BI Dashboards	Competencies / Career Paths
Practical Considerations	Management Best Practices	Future Trends & Technologies

WHAT YOU WILL LEARN
When to build Independent Data Marts versus Central Data Warehouses
How to Decide on a Data Warehousing Framework in Your Organization
Does Your Organization Require an Operational Data Store (ODS)
Why E-R and Dimensional Modeling Can Work Together
Interlocking STAR Schemas or Relational Design...Which Is For You
What Design Techniques Maximize Efficiency in Your Warehouse
How to Separate Data Transform and Staging From Presentation
Where to Draw the Line Between Detailed and Summarized Tables
How to Measure Data Quality and Its Impact on the Warehouse
What is the Best Method for Designing and Presenting Metadata
How to Build Resilient Databases that Gracefully Allow Change
Future Trends in Information Technologies