Course Outline


Overview of On-Premise and Cloud-Based Data Storage and Analysis Solutions

Understanding Big Data

  • Big Data criteria
  • Big Data structure
  • Working with Big Data

Cloud Solutions

  • Azure SQL Database
  • Azure Data Warehouse
  • Azure Data Factory
  • Azure Databricks
  • Power BI

Working with Databases

  • Data warehouse design
  • Dimensional modelling
  • Implementation and deployment

Data Models - A Comparison

  • SSAS Tabular Data Models
  • SSAS Multidimension Models
  • Power BI Models

Data Cleansing

  • Strategies and tools

Report Models

  • Building Power BI tabular models
  • Understanding DAX

PowerBI Reports

  • Designing Power BI reports

Power BI Architecture

  • Workspace generation
  • Licensing
  • Permissions


  • Administering Azure solutions
  • Administering the Power BI Service


  • Maintaining a secure Azure architecture
  • Azure SQL Database/Data Warehouse, Data Factory and Data Bricks
  • Data Masking and Privacy Issues

Summary and Conclusion


  • Experience with elementary data analysis (e.g., Excel).
  • A general understanding of cloud concepts (e.g., AWS).


  • Database engineers
  • Developers
  35 Hours


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