Advanced Data Modelling course 3 day synopsis

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Advanced Data Modelling
Course Objectives: U n d e r s t a n d a n d p r a c t i c e
d i f f e r e n t r e q u i r e m e n t s g a t h e r i n g
a p p r o a c h e s . R e c o g n i s e t h e r e l a t i o n s h i p
b e t w e e n p r o c e s s a n d d a t a m o d e l s a n d
p r a c t i c e c a p t u r i n g r e q u i r e m e n t s f o r b o t h .
L e a r n h o w a n d w h e n t o e x p l o i t s t a n d a r d
c o n s t r u c t s a n d r e f e r e n c e m o d e l s .
U n d e r s t a n d f u r t h e r d i m e n s i o n a l d a t a
m o d e l l i n g a p p r o a c h e s a n d n o r m a l i s a t i o n
t e c h n i q u e s .
C o u r s e D e s c r i p t i o n : A 3 d a y
a d v a n c e d c o u r s e f o r s t u d e n t s w i t h
d a t a m o d e l l i n g e x p e r i e n c e t o
e x p l o r e t h e h u m a n c e n t r i c a s p e c t s
o f c o n c e p t u a l d a t a m o d e l l i n g , u s e
o f p a t t e r n s a n d o t h e r a d v a n c e d
t o p i c s t o e n a b l e t h e m t o b u i l d
q u a l i t y d a t a m o d e l s t h a t m e e t
b u s i n e s s n e e d s .
Course Content:
• Data modeling recap: Modeling basics, major constructs,
identifying entities, model levels and linkage between them.
• Understanding the purpose of the model: Why is this being
created & what are we trying to accomplish with a model?
• Top down requirements capture: When is it appropriate, what are
the limitations.
• Bottom up requirements synthesis: When this works, where is it
appropriate. How do we cope with existing DBMS’s and systems.
• Middle out: Is this always the best approach for requirements?
• Interviews, Questionnaires, Workshops: How to select the fact
fining approach and when the are and are not appropriate.
• Why Information Architects need to understand Business
Processes since information is acted on by the processes.
• How to capture requirements for both Data and Process needs.
• Creating a Conceptual data model and Conceptual process
model.
• Improving communication between modellers and business
stakeholders, & how to use high-level data models to aid
communication (and when not to).
• Presenting data models to business users and how to conduct
feedback sessions. A data model quality checklist
• Checking the Data vs the MetaData; why does it matter?
• Use of standard data model constructs, and pattern models:
• Understanding the Bill of materials (BOM) construct. Where can it
be applied, why it’s one of the most powerful modelling
constructs.
• Party; Role; Relationship: Why mastering this construct can
provide phenomenal flexibility.
• Mastering Hierarchies: Different approaches for modelling
hierarchies.
• Dimensional data modelling: Beyond the basics with conformed
dimensions, bridges, junk dimensions & factless facts.
• Data Modelling Notations and tooling
• Normalisation: Progressing beyond 3NF. 4NF, 5NF Boyce-Codd,
and why, and when to use them.
• Data modelling is NOT just for RDBMS’s: Case studies on other
uses.

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Christopher Bradley has spent 35 years in the
forefront of the Information Management field,
working for leading organisations in
Information Management Strategy, Data
Governance, Data Quality, Information
Assurance, Master Data Management, Metadata
Management, Data Warehouse and Business
Intelligence. Studying Chemical Engineering at
University Mr. Bradley’s post academic career
started for the UK Ministry of Defence where he
worked on several major Naval Database
systems and on the development of the ICL
Data Dictionary System (DDS). His career
included Volvo as lead data base architect,
Thorn EMI as Head of Data Management,
Readers Digest Inc as European CIO, and
Coopers and Lybrand (later PWC) where he
established the International Data Management
specialist practice. During this time he led many
major international assignments including Data
Management Strategies, Data Warehouse
Implementations and establishment of data
governance structures and the largest Data
Management strategy ever undertaken in
Europe. After PWC Chris created and ran a UK
Consultancy practice specializing in Information
Management and led many Information
Management strategy assignments in the
Financial Services, Oil and Gas and Life Sciences
sectors.
Chris works with International clients including
Alinma Bank, American Express, ANZ, Bank of
England, BP, Celgene, GSK, HSBC, Shell, TOTAL,
Statoil, Saudi Aramco, Riyad Bank, and Emirates
NBD. Most recently he has delivered an MDM
review for a Global Pharmaceutical
organization, a comprehensive appraisal of
Information Management practices at an Oil &
Gas super major, an Enterprise Information
Management strategy for a Life Sciences
organization, a Data Governance strategy for a
Middle East Bank, and Information
Management training for Retail, Oil & Gas and
Financial services companies.
Chris advises Global organizations on
Information Strategy, Data Governance,
Information Management best practice and
how organisations can genuinely manage
Information as a critical corporate asset.
Frequently he is engaged to evangelise
Information Management and Data Governance
to Executive management, to introduce data
governance and new business processes for
Information Management and to deliver
training and mentoring.
Chris is an acknowledged thought leader in
Information Strategy with considerable
expertise in Enterprise Information
Management, Information Strategy
development, Data Governance, Master and
Reference Data Management, Information
Assurance, Information Exploitation, Metadata
Management and Information Quality, and has
successfully introduced information led
business transformation programmes across
multiple geographies.
chris@chrismb.co.uk
Christopher Bradley

Advanced Data Modelling course 3 day synopsis

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Advanced Data Modelling course 3 day synopsis