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DATA MODELING MASTER CLASS

$2,900 $2,600

The Master Class is a complete data modeling course, containing 3 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 modeling requirements, you will apply the 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 create a data model well. Two case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects.

SKU: 0229-ADM-FR-CBR Categories: ,

Description

This workshop focuses on the discipline of Data Modeling within in its context of Data Management. It builds the essential knowledge and skills concerned with discovering, analysing, and documenting the concepts, relationships, constraints, and operations on data. The course uses a take-home reference book with practical examples so that you will know how to construct a data model.It creates a bridge for the non-technical person to read, understand and evaluate data models. It is designed for those who aren’t going to be the one creating the agency-wide data models but will need an having an understanding of the fundamental concepts so they can work effectively with help both data analysts and their business to achieve the best results from data.Top 10 Objectives for this Course:
  1. Explain data modeling components and identify them on your projects by following a question-driven approach
  2. Demonstrate reading a data model of any size and complexity with the same confidence as reading a book
  3. Validate any data model with key “settings” (scope, abstraction, time frame, function, and format) as well as through the Data Model Scorecard®
  4. Apply requirements elicitation techniques including interviewing, artefact analysis, prototyping, and job shadowing
  5. Build relational and dimensional conceptual and logical data models, and know the tradeoffs on the physical side for both RDBMS and NoSQL solutions
  6. Practice finding structural soundness issues and standards violations
  7. Recognise when to use abstraction and where patterns and industry data models can give us a great head start
  8. Use a series of templates for capturing and validating requirements, and for data profiling
  9. Evaluate definitions for clarity, completeness, and correctness
  10. Leverage the Data Vault and enterprise data model for a successful enterprise architecture
The Master Class is a data modeling course, containing 3 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 the 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 create a data model well. Two case studies and many exercises reinforce the material and will enable you to apply these techniques to your current projects.

Steve Hoberman explains why data modelling is so important to understanding data and application development in this video.

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DMZ Australia

Sponsorship enquiries can be directed to:


+61 2 6161 0208
info@dmzaustralia.com

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