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Data Modeling Master Class Training Manual by Steve Hoberman at Abbey's Bookshop,
Data Modeling Master Class Training Manual
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Steve Hoberman

Data Modeling Master Class Training Manual

Steve Hoberman

$274.95   $220

Paperback

Not in-store but you can order this
How long will it take?
English
Technics Publications LLC
14 May 2019
Database design & theory; Information architecture
This is the eighth edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com. The Master Class is a complete data modelling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and

modelling

requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard®.

You will know not just how to build a data model, but how to build a data model well. Three case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects. Steve Hoberman has trained over 10,000 people in data modelling since 1992. Steve is known for his entertaining and interactive teaching style (watch out for flying candy!), and organisations around the globe have brought Steve in to teach his Data Modeling Master Class, which is recognised as the most comprehensive data modelling course in the industry. Steve is the author of nine books on data modelling, including the bestseller Data Modeling Made Simple. Steve is also the author of Blockchainopoly. One of Steves frequent data modelling consulting assignments is to review data models using his Data Model Scorecard® technique. He is the founder of the Design Challenges group, Conference Chair of the Data Modeling Zone conferences, director of Technics Publications, lecturer at Columbia University, and recipient of the Data Administration Management Association (DAMA) International Professional Achievement Award. Top 5 Objectives: 1. Determine how and when to use each data modelling component; 2. Apply techniques to elicit data requirements as a prerequisite to building a data model; 3. Build relational and dimensional conceptual, logical, and physical data models; 4. Incorporate supportability and extensibility features into the data model; 5. Assess the quality of a data model.
By:  
Imprint:   Technics Publications LLC
Country of Publication:   United States
Edition:   8th ed.
Dimensions:   Height: 280mm,  Width: 215mm,  Spine: 18mm
Weight:   924g
ISBN:   9781634622110
ISBN 10:   1634622111
Pages:   332
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

Steve Hoberman has trained more than 10,000 people in data modeling since 1992. Steve is known for his ability to translate from business requirements to technical specifications. Steve is the author of nine books on data modeling, including the bestseller Data Modeling Made Simple. Steve is also the author of Blockchainopoly. One of Steve's frequent data modeling consulting assignments is to review BTMs using his Data Model Scorecard® technique. He is the creator of the Data Modeling Institute's Data Modeling Certification exam, Data Modeling Zone Conference Chair, lecturer at Columbia University, and recipient of the Data Administration Management Association International Professional Achievement Award.

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