Advanced Data Modelling course 3 day synopsis
0 likes•758 views
The document outlines the objectives and content of an advanced data modeling course aimed at individuals with prior experience in data modeling, focusing on techniques for capturing requirements and building quality data models. It covers various topics including requirements gathering methods, dimensional data modeling, normalization techniques, and improving communication between data modelers and business stakeholders. The course is facilitated by Christopher Bradley, an expert with extensive experience in information management and data governance across various industries.
Advanced Data Modelling course 3 day synopsis
- 1. P / 1 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.
- 2. P / 2
- 3. P / 3 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. [email protected] Christopher Bradley