Location announcement for May 12 DAMA Day
2011-03-23 03:45:37 GMT
Radisson Hotel Phoenix North
427 North 44th Street
Phoenix, AZ 85008
Steve Hoberman, one of the world's most well-known data modeling gurus, will be
presenting Thursday, May 12th in Phoenix at the DAMA Day. This will be a full
day training session which will sharpen your modeling skills for a very
Cost is $60 for DAMA members and $100 for non-members (for non-members, price of
admission includes a 1 year DAMA Phoenix membership).
The event will start at 8:30 and go until 4. Coffee & bagels provided at 8 am,
so come early to network. There will also be a happy hour (cash bar) after the
To register, please go to http://www.dama-phoenix.org. FIRST 50 registrants
receive a $20 discount off of a Technics Publishing book . Click here for books
published by Technics . (e.g., DAMA DMBOK).
Please be sure to forward this email to your colleagues and managers!
Do you already know data modeling and want more? Take the Advanced Data Modeling
Challenges Workshop! This one-day course minimizes lecture and maximizes
tackling real world data modeling scenarios. There are eight modules to the
class containing over twenty scenarios that are solved in groups then discussed
with the class.
Data Modeling Syntax. We will translate a series of business rules into
different modeling notations such as Information Engineering (IE), Integration
Definition for Information Modeling (IDEF1X), and the UML Class Diagram.
Data Modeling Guidelines. Modeling is far from an exact science and in this
module we will face several areas where guidelines are critical. We will
determine when to use each of five different data models for capturing a ragged
and unbalanced hierarchy. In another scenario, we will decide whether to use a
lookup entity, a generic lookup entity, or no lookup at all. We will explore
where new technologies will lead to new classword hierarchies. We will decide
when to use b-tree versus bitmap indexes.
Business Intelligence. We will clarify the meanings of a number of dimensional
modeling terms in our field such as factless fact, merged fact, and pivoted
fact. We will then sort a series of measurements into additive, semi-additive,
and fully additive. We will build the subject area, logical, and physical
dimensional data models for a lottery analytical system.
Enterprise Architecture. We will define the elusive canonical data model. We
will then build the relational logical enterprise data model for a publishing
organization. We will answer five very challenging questions around the
marketing and usage of the enterprise data model. We will then practice
integration techniques using several standard glossaries. We will also design a
Industry Data Models. We will extend a generic industry data model for a data
warehouse. We will also practice reverse engineering an existing XML-based
industry data model.
New Technologies. We will identify the involvement of data analysts, data
architects, data modelers, and business users in the design of a mashup. We will
capture some of the challenges with creating business intelligence mashups
(bashups for short). We will help a startup company design a cloud-based survey
application as a Software as a Service (SaaS). We will reverse engineer an XML
document into a relational logical data model.
Data Profiling. We will examine sample data to determine the validity of a data
model. We will model structured, semi-structured and unstructured data for a
Roles and Responsibilities. We will determine what a data architect really does.
We will determine who is responsible when the data model is not used, or not
used as intended.
This course is for anyone who has previously attended the Data Modeling Master
Class or currently knows data modeling basics and is seeking more advanced
techniques. Roles include:
· Data Modeler
· Project Manager
· Team Lead
· Support Analyst
· Data Administrator
· Database Administrator
· Data Analyst
· Integration Specialist
Steve Hoberman is one of the world's most well-known data modeling gurus. He
taught his first data modeling class in 1992 and has educated more than 10,000
people about data modeling and business intelligence techniques since then.
Steve is known for his entertaining, interactive teaching and lecture style
(watch out for flying candy!), and organizations around the globe have brought
Steve in to teach his Data Modeling Master Class, which is recognized as the
most comprehensive data modeling course in the industry. Steve is the author of
Data Modeling Made Simple, Data Modeler¡¦s Workbench, and Data Modeling for the
Business. He is the founder of the Design Challenges group, inventor of the Data
Model ScorecardR, and CEO of Technics Publications. You can learn more about his
books and other innovative and practical works at Technics Publications'
website, www.technicspub.com. To receive Steve¡¦s monthly Design Challenges,
visit his website at www.stevehoberman.com. Steve can be reached at
me <at> stevehoberman.com.
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