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Data Modeling for Qlik Sense

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Data Modeling for Qlik Sense is a technical course for you to learn to develop a coherent data model in Qlik Sense by loading and transforming multiple data sources.

Combining theoretical information with tools, techniques and exercises, this course covers topics related to maintaining data connections, transforming source data, architecting data models, optimizing for performance, and application development on Qlik Sense Enterprise.

Objetivos

You will learn to:

  • Create a data model in Qlik Sense
  • Use the Data Load Editor and the Data Manager
  • Create and maintain data connections
  • Resolve data structure issues and script errors
  • Transform data for better performance
  • Discuss synthetic keys and circular references
  • Add dimensions and measures to the master library
  • Add simple visualizations with Qlik Sense

Destinatários

  • Business Analysts
  • Data Architects

Pré-Requisitos

  • Visualizations with Qlik Sense
  • Database knowledge
  • Understanding data principles

Programa

  • Modeling data with Qlik Sense
  • Sourcing and loading data
  • Resolving common modeling issues
  • Generating data
  • Combining tables
  • Handling advanced modeling challenges
  • Developing and Debugging
  • Applying finishing touches
  • Exploring security and advanced concepts

Outras datas e horários

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Data Modeling for Qlik Sense

Data & Analytics | 24h - e-learning


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Obrigado!