Masterclass Modeling Data and Information

Introductie

Masterclass Modeling Data and Information

A training that you should not miss when dealing with data processing or information provision. More and more organizations are realizing that data can provide value. Unlocking data, data science, data virtualization and big data are all on the rise and are aimed at unlocking data.

However, when making data accessible, a description of the data is becoming increasingly important. For example, what is the structure of the data, where can it be found, what does the data mean, is the quality of the data good. These are all questions that arise when processing data. Data modeling is an important tool to answer these questions.

Data modeling will take place from different points of view. For example, someone in the primary organization is interested in what the data means, the IT department would like to know how and where the data is stored and data analysts would like to know what the quality of data is. Data modeling is important to provide an answer to these many points of view. The training provides many practical tips and practical examples of various data modeling techniques.

Onderwerpen

Introduction

  • What is information and what is data
  • DaMa and definition on data modeling
  • Layered information modeling

Conceptual data modeling

  • Glossaries
  • Sipoc
  • ArchiMate

Logical data modeling

  • UML Class Models
  • UML Object models

Physical data modeling

  • ER diagrams
  • Normal Forms
  • State transition diagrams

Additional modeling methods

  • Object event matrix
  • Data Flow diagrams
  • Data vault
  • Data mappings
  • Big Data
  • CRUD matrix
  • Facts and dimensions

apply

  • Big data
  • Data warehousing and ETL
  • Master data management and registers
  • Model Driven Architecture, Code Generation and Prototyping
  • SOA registries and EAI

Doelgroep

Do you have a responsibility for the information and data provision of your organization? Do you have a role in modeling data, drawing up architectures, directing change and projects or are you otherwise closely involved in data virtualization, master data or big data in your organization? Then this practical data management training is a real eye-opener!

Praktisch

Duration Two-day training
Training methods
  • In company
  • Classroom through various training institutes
Additional material
  • Course slides
  • PDF of the book Data Modeling in Practice
  • Coupon for access to data platform information
Extra! Bring a laptop so you can create data models in the exercises

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