Data Modeling with Qlik Sense (SF) (SF) (Synchronous e-learning)
About This Course
• Utilise data modelling tools and techniques to create data models to deliver business value
• Use the Data Load Editor and the Data Manager effectively and efficiently for data transformation and optimisation to portray trends and findings
• Resolve data modelling issues such as synthetic keys and circular references for the presentation of data to portray critical trends and patterns
• Generate data using techniques for better dashboard visualisation and performance
• Combine tables to customize data requirements from the data model to enable better analytics capabilities
• Handle advanced modelling challenges for the mapping of data for better data displays to address the questions of stakeholders
• Apply concepts to develop and debug data scripts from the data model to suit the data visualisations
• Use the Set Analysis to optimize data queries for data visualisations with display features to align interpretation and presentation of data analytics findings
• Work with server, data and object security for performance considerations with considerations for good user experience and strategic visualisations
What You'll Learn
With information, tools, techniques, and exercises, this course includes topics dealing with maintaining data connections, cleansing and transforming source data, architecting data models. Optimising for performance and application development on Qlik Sense.
Entry Requirements
• Creating Visualizations with Qlik Sense (advantageous)
• Database and SQL query knowledge