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Advanced Data Modeling

Challenges Workshop A Hands-On Approach to Sharpening Your Data Modeling Skills

Do you already know data modeling and want more? Take the Advanced Data Modeling

Challenges Workshop! This two-day course minimizes lecture and maximizes tackling real

world data modeling scenarios. There are seven modules to the class containing over

twenty scenarios that are solved in groups then discussed with the class.

Foundational. 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. We will come up

with equations for determining how long data modeling should take. We will decide

whether to use a lookup entity, a generic lookup entity, or no lookup at all. We will

practice one of the higher levels of normalization.

Analytics. 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

our own calendar dimension, as well as the conceptual, 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 metadata repository.

Abstraction and Industry Data Models. We will complete several exercises on

abstraction as well as extend a generic industry data model for a data warehouse.

We will also practice reverse engineering an existing XML-based industry data

model.

Big Data and Data Profiling. We will examine sample data to determine the

validity of a data model. We will determine the impact Big Data will have on our

jobs, and model structured, semi-structured and unstructured data for a contact

application.

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.

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Agile. We will revisit the agile mindset using the Agile Manifesto, and explore

which Big Design Up Front (BDUF) deliverables are required to ensure agile

success.

Audience

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

Architect

Developer

Support Analyst

Data Administrator

Database Administrator

Data Analyst

Integration Specialist

Speaker

Steve Hoberman is the most requested data

modeling instructor in the world. Introduced

at over 50 international conferences as

everything from a “data modeling guru” to

“data modeling rock star”, Steve balances the

formality and precision of data modeling with

the realities of building software systems

with severe time, budget, and people

constraints. In his consulting and teaching,

he focuses on templates, tools, and guidelines to reap the benefits of data modeling with

minimal investment. 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, spanning every continent except Africa and Antarctica. Steve is the author of seven

books on data modeling, including the bestseller Data Modeling Made Simple. He is the

founder of the Design Challenges group, inventor of the Data Model Scorecard®, Conference

Chair of the Data Modeling Zone conference, recipient of the 2012 Data Administration

Management Association (DAMA) International Professional Achievement Award, and

highest rated presenter at Enterprise Data World 2014. To receive Steve’s monthly Design

Challenges, visit his website at www.stevehoberman.com. Steve can be reached at

me@stevehoberman.com, @DataMdlRockStar on Twitter, or through Steve Hoberman on

Linked-In.