Mastering Data Modelling Techniques

  • 24-25 Mar 2022
  • Webinar

Description

Topics
  • Level Set Understanding & Terminology
    • Areas where Data modelling adds value to Data Management activities beyond Relational Database design
    • The need for and application of Data Models in Big Data and NoSQL environments
    • The critical role of Data models in other Data Management disciplines particularly Data Management and Data Governance
  • Practical Application
    • How to discover requirements for robust data models
    • Conceptual and logical data models, and compromises for physical design
    • Where industry data models can provide a kick start
    • Where abstraction is valuable (and where it is risky)
    • How (and where) to apply standard solutions to well-known data modelling business scenarios
  • Pragmatic Learning
    • How to create data models that can be easily read by humans
    • The best practices for developing Data models for Big Data and NoSQL environment
    • How to apply different Data modelling techniques
    • The difference between Enterprise, Conceptual, Logical, Physical and Dimensional Data models
Who should Attend
  • Business Intelligence & Data Warehouse Developers & Architects
  • Data Modellers
  • Data Analysts
  • Data Architects
  • Solution Architects
  • Enterprise Architects
  • Information Architects
  • Application Architects
  • Developers
  • Business Analysts
  • Project / Programme Managers
  • Database Administrators
  • Data Governance Managers
  • IT Consultants
  • Information Quality Practitioners
  • Data Quality Managers

Prerequisite: Attendance at the Data Modelling Essentials class OR 3+ years of practical Data Modelling experience.

Past Events

Important

Please, check "Mastering Data Modelling Techniques" official website for possible changes, before making any traveling arrangements

Event Categories

Technology: Data management, Information Technology (IT)

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